This page has only limited features, please log in for full access.

Dr. Shib Sankar Sana
Principal, Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Kolkata 700060, India

Basic Info


Research Keywords & Expertise

0 Soft Computing
0 Supply Chain Management
0 Business and Management
0 Biomathematics
0 Production Planning and Control

Fingerprints

Inventory control and management
Supply Chain Management
Soft Computing

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

Dr Shib Sankar Sana is currently Principal of Kishore Bharati Bhagini Nivedita College under the University of Calcutta. He served at the Department of Mathematics as Associate Professor in Bhangar Mahavidyalaya from 2001 to 2018 and Department of Applied Mathematics, Birla Institute of Technology, Mesra, Ranchi as an Associate Lecturer during1999-2001.His main areas of research are the modelling of production planning and inventory control, Biomathematics and Soft Computing. He has published over 175 papers in Journal of cleaner Production, European Journal of Operational Research, International Journal of Production Economics, Computers and Mathematics with Application, Mathematical and Computer Modelling, Applied Mathematics and Computation, Journal of Modelling in Management, American Journal of Mathematical and Management Sciences, International Journal of Systems Science, Far East Journal of Applied Mathematics, Nonlinear Phenomena in Complex Systems, Advanced Modeling and Optimization, Vietnam Journal of Mathematics, Yugoslav Journal of Operational Research, International Journal of Operational Research, International Journal of Services Operations Management, International Journal of Modeling, Identification and Control, International Journal of Innovative Computing and Application, International Journal of Procurement Management, International Journal of Mathematics and Operations Research, IMA Journal of Management Mathematics, etc.

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 25 August 2021 in Journal of Risk and Financial Management
Reads 0
Downloads 0

Inventory management is becoming very challenging for the retailer over the years due to the uncertainty in the demand and supply of products in financial risk and management systems. In a competitive market, running a business smoothly in a highly suitable place is day by day becoming tough due to the very high fare for those locations. Thus, limited storage is available in those elite places with high fares, and a retailer takes a financial risk by stocking huge amounts of products in those limited storage stores. Thus, the appropriate financial analysis is required to find out optimal strategies (financial decisions) to sustain a business organization of electronic products in a global competitive business environment. As a result, when bulk purchases of electronic products, for example, T.V., Fridges, Oven, etc., have been made by the retailer, he faces two problems. The first one is related to the limited storage; as a result, he has to pay a considerable amount to hold the products for a long time. The second one is shortages of liquid money as he invested massive amounts. To avoid these problems, he offers some price discounts on the market’s original selling price to sell the products quickly for a limited time prior to recovering his capital investment. For that reason, a price, time, and stock dependent realistic demand function have been considered in this proposed paper with two modes of discount policy. The proposed model has been solved by a classical optimization technique from calculus and provides some insights for the retailer. Some numerical examples and graphs are provided to illustrate the model.

ACS Style

Sujan Miah; Mominul Islam; Mahmudul Hasan; Abu Hashan Md. Mashud; Dipa Roy; Shib Sankar Sana. A Discount Technique-Based Inventory Management on Electronics Products Supply Chain. Journal of Risk and Financial Management 2021, 14, 398 .

AMA Style

Sujan Miah, Mominul Islam, Mahmudul Hasan, Abu Hashan Md. Mashud, Dipa Roy, Shib Sankar Sana. A Discount Technique-Based Inventory Management on Electronics Products Supply Chain. Journal of Risk and Financial Management. 2021; 14 (9):398.

Chicago/Turabian Style

Sujan Miah; Mominul Islam; Mahmudul Hasan; Abu Hashan Md. Mashud; Dipa Roy; Shib Sankar Sana. 2021. "A Discount Technique-Based Inventory Management on Electronics Products Supply Chain." Journal of Risk and Financial Management 14, no. 9: 398.

Journal article
Published: 16 August 2021 in Sustainability
Reads 0
Downloads 0

With the expanding awareness of worldwide governments to ecological issues, the idea of protecting the environment has been initiated into the supply chain. The role of government in green supply chain management has become especially significant. This paper proposes a green supply chain model with a duopoly structure, in which two manufacturers separately produce green and non-green items sold through a common retailer. The government looks for social advantages and decides subsidies for the green item and taxes for non-green items. Using a centralized and decentralized model, two cases of government interference and no government interference are analyzed with customer green preference. This study focuses on exploring the pricing strategy, greening strategy and comparing the optimal decisions in all the cases to maximize the overall profitability of the supply chain. Numerical results and sensitivity analysis illustrate how the government subsidy on green products and tax policy in non-green products can influence the profitability of supply chain members. The research finding can give valuable experiences to channel members of the supply chain to settle optimum choices with and without government interference by enhancing the green and non-green item market competition. Among the competitive duopoly structure, the centralized model makes more profit and leads to manufactured eco-friendly items.

ACS Style

Abhijit Barman; Rubi Das; Pijus Kanti De; Shib Sankar Sana. Optimal Pricing and Greening Strategy in a Competitive Green Supply Chain: Impact of Government Subsidy and Tax Policy. Sustainability 2021, 13, 9178 .

AMA Style

Abhijit Barman, Rubi Das, Pijus Kanti De, Shib Sankar Sana. Optimal Pricing and Greening Strategy in a Competitive Green Supply Chain: Impact of Government Subsidy and Tax Policy. Sustainability. 2021; 13 (16):9178.

Chicago/Turabian Style

Abhijit Barman; Rubi Das; Pijus Kanti De; Shib Sankar Sana. 2021. "Optimal Pricing and Greening Strategy in a Competitive Green Supply Chain: Impact of Government Subsidy and Tax Policy." Sustainability 13, no. 16: 9178.

Research article
Published: 24 June 2021 in International Journal of Systems Science: Operations & Logistics
Reads 0
Downloads 0

This paper investigates a two-stage production system consists of a fabrication stage followed by an assembly stage. There are some unrelated parallel machines in the first stage to process the parts and then, the parts are assembled into the final product at an assembly workstation. To close the problem to real-world condition, machine eligibility, sequence-dependent setup times, and different release times are considered for the received parts. In addition, most of the researchers deal with machines as the only resource in conducting the scheduling problems. However, other additional resources such as specialised labours, tools, and industrial robots are usually not only required for processing jobs but also are often restricted to use. First, the problem is described and a new mixed-integer linear programming model is proposed that can solve the problem in small-sized scales. Since this problem is well known as a strong NP-hard problem, a new heuristic algorithm is proposed based on the basic idea of Johnson’s rule. Moreover, two proper lower bounds are introduced as references to evaluate the performance of the proposed heuristic algorithm. Numerical experiments show high quality of the final solutions provided by the proposed algorithm and also indicate effectiveness of two developed lower bounds.

ACS Style

Seyed Mohammad Hassan Hosseini; Shib Sankar Sana; Mohammad Rostami. Assembly flow shop scheduling problem considering machine eligibility restrictions and auxiliary resource constraints. International Journal of Systems Science: Operations & Logistics 2021, 1 -17.

AMA Style

Seyed Mohammad Hassan Hosseini, Shib Sankar Sana, Mohammad Rostami. Assembly flow shop scheduling problem considering machine eligibility restrictions and auxiliary resource constraints. International Journal of Systems Science: Operations & Logistics. 2021; ():1-17.

Chicago/Turabian Style

Seyed Mohammad Hassan Hosseini; Shib Sankar Sana; Mohammad Rostami. 2021. "Assembly flow shop scheduling problem considering machine eligibility restrictions and auxiliary resource constraints." International Journal of Systems Science: Operations & Logistics , no. : 1-17.

Journal article
Published: 11 May 2021 in RAIRO - Operations Research
Reads 0
Downloads 0

Motorcyclists account for more than 380 000 deaths annually worldwide from road traffic accidents. Motorcyclists are the most vulnerable road users worldwide to road safety (28% of global fatalities), together with cyclists and pedestrians. Approximately 80% of deaths are from low- or middle-income countries. Colombia has a rate of 9.7 deaths per 100 000 inhabitants, which places it 10th in the world. Motorcycles in Colombia correspond to 57% of the fleet and generate an average of 51% of fatalities per year. This study aims to identify significant factors of the environment, traffic volume, and infrastructure to predict the number of accidents per year focused only on motorcyclists. The prediction model used a negative binomial regression for the definition of a Safety Performance Function (SPF) for motorcyclists. In the second stage, Bayes’ empirical approach is implemented to identify motorcycle crash-prone road sections. The study is applied in Cartagena, one of the capital cities with more traffic crashes and motorcyclists dedicated to informal transportation (motorcycle taxi riders) in Colombia. The data of 2884 motorcycle crashes between 2016 and 2017 are analyzed. The proposed model identifies that crashes of motorcyclists per kilometer have significant factors such as the average volume of daily motorcyclist traffic, the number of accesses (intersections) per kilometer, commercial areas, and the type of road and it identifies 55 critical accident-prone sections. The research evidences coherent and consistent results with previous studies and requires effective countermeasures for the benefit of road safety for motorcyclists.

ACS Style

Holman Ospina-Mateus; Leonardo Augusto Quintana Jiménez; Francisco J. Lopez-Valdes; Shib Sankar Sana. Prediction of motorcyclist traffic crashes in Cartagena (Colombia): development of a safety performance function. RAIRO - Operations Research 2021, 55, 1257 -1278.

AMA Style

Holman Ospina-Mateus, Leonardo Augusto Quintana Jiménez, Francisco J. Lopez-Valdes, Shib Sankar Sana. Prediction of motorcyclist traffic crashes in Cartagena (Colombia): development of a safety performance function. RAIRO - Operations Research. 2021; 55 (3):1257-1278.

Chicago/Turabian Style

Holman Ospina-Mateus; Leonardo Augusto Quintana Jiménez; Francisco J. Lopez-Valdes; Shib Sankar Sana. 2021. "Prediction of motorcyclist traffic crashes in Cartagena (Colombia): development of a safety performance function." RAIRO - Operations Research 55, no. 3: 1257-1278.

Original paper
Published: 21 April 2021 in International Journal of Applied and Computational Mathematics
Reads 0
Downloads 0

This research presents a mathematical model for a collaborative planning of the supply chain involving four echelons (supplier, production plants, distribution, retails, or clients). The model seeks to maximize profit (utility) when all members of the chain share information related to demand. It is developed for the aggregate consolidation of different raw materials in cement production. The novelty of the model is the consideration of products that deteriorate in the process and thus it has effect on the production times in the plant and lead time. In this supply chain, quality and compliant products and the return of deteriorated products are two flows. The considerations are lead time, inventories with shortages and excesses, production times in normal and extra days, and subcontracting, among others. A mixed integer linear programming with demand scenario analysis is used to optimize and analyze the uncertainty that is consistent with the performance of the construction sector. The model is formed considering two suppliers, two production plants, two distributors, two retailers and two end customers. Four manufacturing inputs (raw materials) are considered for the manufacture of two types of products. A case study of the cement production supply chain of Cartagena (Colombia) is illustrated. The shared benefit is generated around 5 billion pesos (COP) for all members of the chain in a period of 6 months.

ACS Style

Jaime Acevedo-Chedid; Katherinne Salas-Navarro; Holman Ospina-Mateus; Alina Villalobo; Shib Sankar Sana. Production System in a Collaborative Supply Chain Considering Deterioration. International Journal of Applied and Computational Mathematics 2021, 7, 1 -46.

AMA Style

Jaime Acevedo-Chedid, Katherinne Salas-Navarro, Holman Ospina-Mateus, Alina Villalobo, Shib Sankar Sana. Production System in a Collaborative Supply Chain Considering Deterioration. International Journal of Applied and Computational Mathematics. 2021; 7 (3):1-46.

Chicago/Turabian Style

Jaime Acevedo-Chedid; Katherinne Salas-Navarro; Holman Ospina-Mateus; Alina Villalobo; Shib Sankar Sana. 2021. "Production System in a Collaborative Supply Chain Considering Deterioration." International Journal of Applied and Computational Mathematics 7, no. 3: 1-46.

Journal article
Published: 10 April 2021 in Journal of Risk and Financial Management
Reads 0
Downloads 0

Recycling of products has a great impact on contemporary sustainable business strategies. In this study, a sustainable recycling process in a production-inventory model for an imperfect production system with a fixed ratio of recyclable defective products is introduced. The piecewise constant demand rates of the non-defective items are considered under production run-time, production off-time with positive stock, and production off-time with shortages under varying conditions. Based on the production process, two cases are studied using this model. The first case does not consider recycling processes, while the second case picks up all defective items before sending these items to recycling during the production off-time; the recycled items are added to the main inventory. The aim of this study is to minimize the total cost and identify the optimal order quantity. The manufacturing process with the recycling process provides a better result compared to without recycling in the first case. Some theoretical derivations are developed to enunciate the objective function using the classical optimization technique. To validate the proposed study, sensitivity analysis is performed, and numerical examples are given. Finally, some managerial insights and the scope of future research are provided.

ACS Style

Ali AlArjani; Maniruzzaman Miah; Sharif Uddin; Abu Mashud; Hui-Ming Wee; Shib Sana; Hari Srivastava. A Sustainable Economic Recycle Quantity Model for Imperfect Production System with Shortages. Journal of Risk and Financial Management 2021, 14, 173 .

AMA Style

Ali AlArjani, Maniruzzaman Miah, Sharif Uddin, Abu Mashud, Hui-Ming Wee, Shib Sana, Hari Srivastava. A Sustainable Economic Recycle Quantity Model for Imperfect Production System with Shortages. Journal of Risk and Financial Management. 2021; 14 (4):173.

Chicago/Turabian Style

Ali AlArjani; Maniruzzaman Miah; Sharif Uddin; Abu Mashud; Hui-Ming Wee; Shib Sana; Hari Srivastava. 2021. "A Sustainable Economic Recycle Quantity Model for Imperfect Production System with Shortages." Journal of Risk and Financial Management 14, no. 4: 173.

Research article
Published: 24 March 2021 in International Journal of Systems Science: Operations & Logistics
Reads 0
Downloads 0

Disasters are severe disruptions occurring at a specific time, causing widespread human, material, economic or environmental loss that exceeds the affected society or community's ability to endure using its resources. The occurrence of pandemics like COVID-19 demonstrates a lack of proper preparation in hospitals. This study aims to evaluate hospitals' operational readiness levels in disaster management emphasizing the admission, care, and treatment of COVID-19 patients. The article proposes a framework for preparedness of hospitals and establishes a new approach based on the rough set theory to evaluate the preparedness of the referral hospitals infected byCOVID-19. The concept of the upper and lower control limits (UCL and LCL) is used to define preparedness classes. This approach is applied for a case study of 25 hospitals in Tehran, one of Asia's largest cities with a population near 20 million people. Finally, some proper rules areextracted and analysed to determine the preparedness level of hospitals. Moreover, ten suitable rules are introduced which highlight the necessities to get allocated to the highest preparedness class. Finally, the most critical indicators that have the most decisive role in determining the level of functional preparedness in hospitals are suggested .

ACS Style

Arash Moheimani; Reza Sheikh; Seyed Mohammad Hassan Hosseini; Shib Sankar Sana. Assessing the preparedness of hospitals facing disasters using the rough set theory: guidelines for more preparedness to cope with the COVID-19. International Journal of Systems Science: Operations & Logistics 2021, 1 -16.

AMA Style

Arash Moheimani, Reza Sheikh, Seyed Mohammad Hassan Hosseini, Shib Sankar Sana. Assessing the preparedness of hospitals facing disasters using the rough set theory: guidelines for more preparedness to cope with the COVID-19. International Journal of Systems Science: Operations & Logistics. 2021; ():1-16.

Chicago/Turabian Style

Arash Moheimani; Reza Sheikh; Seyed Mohammad Hassan Hosseini; Shib Sankar Sana. 2021. "Assessing the preparedness of hospitals facing disasters using the rough set theory: guidelines for more preparedness to cope with the COVID-19." International Journal of Systems Science: Operations & Logistics , no. : 1-16.

Journal article
Published: 02 March 2021 in RAIRO - Operations Research
Reads 0
Downloads 0

Flexible manufacturing systems as technological and automated structures have a high complexity for scheduling. The decision-making process is made difficult with interruptions that may occur in the system and these problems increase the complexity to define an optimal schedule. The research proposes a three-stage hybrid algorithm that allows the rescheduling of operations in an FMS. The novelty of the research is presented in two approaches: first is the integration of the techniques of Petri nets, discrete simulation, and memetic algorithms and second is the rescheduling environment with machine failures to optimize the makespan and Total Weighted Tardiness. The effectiveness of the proposed Soft computing approaches was validated with the bottleneck of heuristics and the dispatch rules. The results of the proposed algorithm show significant findings with the contrasting techniques. In the first stage (scheduling), improvements are obtained between 50 and 70% on performance indicators. In the second stage (failure), four scenarios are developed that improve the variability, flexibility, and robustness of the schedules. In the final stage (rescheduling), the results show that 78% of the instances have variations of less than 10% for the initial schedule. Furthermore, 88% of the instances support rescheduling with variations of less than 2% compared to the heuristics.

ACS Style

Jaime Acevedo-Chedid; Jennifer Grice-Reyes; Holman Ospina-Mateus; Katherinne Salas-Navarro; Alcides Santander-Mercado; Shib Sankar Sana. Soft-computing approaches for rescheduling problems in a manufacturing industry. RAIRO - Operations Research 2021, 55, S2125 -S2159.

AMA Style

Jaime Acevedo-Chedid, Jennifer Grice-Reyes, Holman Ospina-Mateus, Katherinne Salas-Navarro, Alcides Santander-Mercado, Shib Sankar Sana. Soft-computing approaches for rescheduling problems in a manufacturing industry. RAIRO - Operations Research. 2021; 55 ():S2125-S2159.

Chicago/Turabian Style

Jaime Acevedo-Chedid; Jennifer Grice-Reyes; Holman Ospina-Mateus; Katherinne Salas-Navarro; Alcides Santander-Mercado; Shib Sankar Sana. 2021. "Soft-computing approaches for rescheduling problems in a manufacturing industry." RAIRO - Operations Research 55, no. : S2125-S2159.

Journal article
Published: 02 March 2021 in RAIRO - Operations Research
Reads 0
Downloads 0

Nowadays business owners use lots of incentive schemes to make customers buy more products. In this paper optimal ordering policy for customers is obtained when the manufacturer increases the purchasing price or temporary decreases it. Offering a special sale from the manufacturer is probabilistic and shortage occurs as partial backlogging. In this paper, the initial level of inventory when the purchasing price changes is not equal to zero. With respect to the assumptions, the amount of special order quantity, the shortage quantity, and the expected total saving from making an special order is optimized for the customer. The optimal amount of decision variables are obtained by maximizing the expected total saving function and a closed-form solution is derived. Several numerical examples are solved and sensitivity analysis is performed to prove the applicability of the proposed model. Finally, the impact of some parameters of the model including the demand, the probability of making a special order, the future prices, and the initial inventory is investigated. Optimal ordering policy for the customers is obtained in cases when an announced price increase occurs and when the prices temporarily decrease.

ACS Style

Ata Allah Taleizadeh; Hamid Reza Zarei; Shib Sankar Sana. Optimal control of an inventory system under whole sale price changes. RAIRO - Operations Research 2021, 55, S289 -S305.

AMA Style

Ata Allah Taleizadeh, Hamid Reza Zarei, Shib Sankar Sana. Optimal control of an inventory system under whole sale price changes. RAIRO - Operations Research. 2021; 55 ():S289-S305.

Chicago/Turabian Style

Ata Allah Taleizadeh; Hamid Reza Zarei; Shib Sankar Sana. 2021. "Optimal control of an inventory system under whole sale price changes." RAIRO - Operations Research 55, no. : S289-S305.

Journal article
Published: 02 March 2021 in RAIRO - Operations Research
Reads 0
Downloads 0

Due to uncertainty and large number of companies in financial market, it has become difficult to choose the right stock to investments. Identifying and classifying stocks using fundamental criteria help investors to better understand the risks involved in selecting companies and better manage their own capital, thereby rapidly and accurately choose their preferred stock and make more secure profit. The main concern that capital market investors are facing difficulty to choosing the right stock despite the uncertainties in the market. Uncertainties in the market that lead to incomplete information are presented in this article to complete the reciprocal preference relation method. The purpose of this paper is to present a method for completing information to reduce the uncertainties in the market and finally classify companies in each industry based on fundamental criteria. The classification method used is acceptability/reject ability which is based on distance fuzzy analysis yields more accurate results. Finally, a case study on one of the most critical industries in Tehran Stock Exchange is presented to show the effectiveness of the proposed approach.

ACS Style

Alireza Komeili Birjandi; Sanaz Dehmolaee; Reza Sheikh; Shib Sankar Sana. Analysis and classification of companies on tehran stock exchange with incomplete information. RAIRO - Operations Research 2021, 55, S2709 -S2726.

AMA Style

Alireza Komeili Birjandi, Sanaz Dehmolaee, Reza Sheikh, Shib Sankar Sana. Analysis and classification of companies on tehran stock exchange with incomplete information. RAIRO - Operations Research. 2021; 55 ():S2709-S2726.

Chicago/Turabian Style

Alireza Komeili Birjandi; Sanaz Dehmolaee; Reza Sheikh; Shib Sankar Sana. 2021. "Analysis and classification of companies on tehran stock exchange with incomplete information." RAIRO - Operations Research 55, no. : S2709-S2726.

Journal article
Published: 02 March 2021 in RAIRO - Operations Research
Reads 0
Downloads 0

This study explores simultaneous reduction strategies of lead time and setup cost in a two-stage supply chain model under trade-credit financing. Lead time depends on a variable production rate and lot size. It consists of setup, production, and transportation time which are shortened to reduce lead time. Although double safety factors are considered to avoid stock-out; but still backorders take place as the demand during the lead time is stochastic. Setup cost is reduced by including an extra investment cost. In addition, the vendor offers a fixed credit period to the buyer to settle the account. The objective is to minimize the integrated expected total cost and optimize the order quantity, number of deliveries, setup and transportation time, setup cost, safety factor for the first batch, and the production rate. A multi-variable optimization technique is used for these purposes. Furthermore, a numerical example together with managerial insights is provided for the establishment and applicability of the proposed model. The numerical results show that the introduction of setup cost reduction and trade-credit financing along with lead time reduction is more beneficial by means of integrated expected total cost reduction.

ACS Style

Monami Das Roy; Shib Sankar Sana. Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing. RAIRO - Operations Research 2021, 55, S1469 -S1485.

AMA Style

Monami Das Roy, Shib Sankar Sana. Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing. RAIRO - Operations Research. 2021; 55 ():S1469-S1485.

Chicago/Turabian Style

Monami Das Roy; Shib Sankar Sana. 2021. "Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing." RAIRO - Operations Research 55, no. : S1469-S1485.

Journal article
Published: 27 February 2021 in Mathematical Problems in Engineering
Reads 0
Downloads 0

This paper investigates the impact of the subsidy and horizontal strategic cooperation on a green supply chain where two competing manufacturers distribute substitutable green products through exclusive retailers. Models are formulated in three-stage game structures in five different scenarios, where the government organization determines optimal subsidy by pursuing social welfare maximization. Both manufacturers invest in improving green quality levels of products. The study aims to explore the advantage of vertical integration and strategic collusion from the perspective of green supply chain practice in the presence of subsidy. The key contributions from the present study indicate that under competition, members of both supply chains are able to receive higher profits through horizontal collusion, but green quality levels of the product remain suboptimal. If upstream manufacturers cooperate, government subsidy does not necessarily improve product quality level, and the amount of government expenditure increased substantially. By comparing outcomes where members are vertically integrated with scenarios where members make strategic collusion, we found that the former might outperform by later. Cross-price sensitivity appears as a significant parameter affecting supply chain members’ performance and the amount of government expenditure. Cooperation between members at the horizontal level is a more robust strategic measure than vertical integration if consumers are highly price-sensitive.

ACS Style

Subrata Saha; Izabela Nielsen; Shib Sankar Sana. Effect of Optimal Subsidy Rate and Strategic Behaviour of Supply Chain Members under Competition on Green Product Retailing. Mathematical Problems in Engineering 2021, 2021, 1 -23.

AMA Style

Subrata Saha, Izabela Nielsen, Shib Sankar Sana. Effect of Optimal Subsidy Rate and Strategic Behaviour of Supply Chain Members under Competition on Green Product Retailing. Mathematical Problems in Engineering. 2021; 2021 ():1-23.

Chicago/Turabian Style

Subrata Saha; Izabela Nielsen; Shib Sankar Sana. 2021. "Effect of Optimal Subsidy Rate and Strategic Behaviour of Supply Chain Members under Competition on Green Product Retailing." Mathematical Problems in Engineering 2021, no. : 1-23.

Application article
Published: 13 January 2021 in OPSEARCH
Reads 0
Downloads 0

This research work addresses an inter-dependent reduction strategy of lead time and ordering cost in a two-stage single vendor and single buyer supply chain model with price-sensitive stochastic demand. Buyer’s backorder rate is a variable, as it depends on the variable lead time. Quality improvement is another aspect of this study. The objective of this study is three folds. Firstly, reducing the lead time and ordering cost simultaneously. Secondly, improving the quality of products and third, optimizing order lot size, lead time, process quality parameter, safety factor, ordering cost, lead time crashing cost, backorder rate, and the number of deliveries so that the joint expected total profit becomes maximum. Stackelberg game and Joint decision, both approaches are discussed. Numerical result shows that the Joint decision approach gives better result than the Stackelberg game approach. Sensitivity analysis for Case-III with respect to some key parameters has been carried out.

ACS Style

Monami Das Roy; Shib Sankar Sana. Inter-dependent lead-time and ordering cost reduction strategy: a supply chain model with quality control, lead-time dependent backorder and price-sensitive stochastic demand. OPSEARCH 2021, 58, 690 -710.

AMA Style

Monami Das Roy, Shib Sankar Sana. Inter-dependent lead-time and ordering cost reduction strategy: a supply chain model with quality control, lead-time dependent backorder and price-sensitive stochastic demand. OPSEARCH. 2021; 58 (3):690-710.

Chicago/Turabian Style

Monami Das Roy; Shib Sankar Sana. 2021. "Inter-dependent lead-time and ordering cost reduction strategy: a supply chain model with quality control, lead-time dependent backorder and price-sensitive stochastic demand." OPSEARCH 58, no. 3: 690-710.

Original research
Published: 06 January 2021 in Journal of Ambient Intelligence and Humanized Computing
Reads 0
Downloads 0

The objective of this study is to analysis of accident of motorcyclists on Bogotá roads in Colombia. For detection of conditions related to crashes and their severity, the proposed model develops the strategies to enhance road safety. In this context, data mining and machine learning techniques are used to investigate 34,232 accidents by motorcyclists during January 2013 to February 2018. Both the Genetic algorithm and simulated annealing are applied in conjunction with mining rules (support, confidence, lift, and comprehensibility) as per objectives of the problem. The application of a hybrid algorithm allows for the creation and definition of optimal hierarchical decision rules for the prediction of the severity of motorcycle traffic accidents. The proposed method yields good results in the metrics of recall (90.07%), precision (89.87%), and accuracy (90.06%) on the data set. The results increase the prediction by 20–21% in comparisons with the following methods: Decision Trees (CART, ID3, and C4.5), Support Vector Machines (SVMs), K-Nearest Neighbor (KNN), Naive Bayes, Neural Networks, Random Forest, and Random Tree. The proposed method defines 11 rules for the prediction of accidents with material damage, 24 rules with injuries, and 12 rules with fatalities. The variables with the most recurrence in the definition of rules are time, weather and road conditions, and the number of victims involved in the accidents. Finally, the interactions of the conditions and characteristics presented in motorcycle accidents are analyzed which contribute to the definition of countermeasures for road safety.

ACS Style

Holman Ospina-Mateus; Leonardo Augusto Quintana Jiménez; Francisco J. Lopez-Valdes; Shyrle Berrio Garcia; Lope H. Barrero; Shib Sankar Sana. Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists. Journal of Ambient Intelligence and Humanized Computing 2021, 1 -22.

AMA Style

Holman Ospina-Mateus, Leonardo Augusto Quintana Jiménez, Francisco J. Lopez-Valdes, Shyrle Berrio Garcia, Lope H. Barrero, Shib Sankar Sana. Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists. Journal of Ambient Intelligence and Humanized Computing. 2021; ():1-22.

Chicago/Turabian Style

Holman Ospina-Mateus; Leonardo Augusto Quintana Jiménez; Francisco J. Lopez-Valdes; Shyrle Berrio Garcia; Lope H. Barrero; Shib Sankar Sana. 2021. "Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists." Journal of Ambient Intelligence and Humanized Computing , no. : 1-22.

Journal article
Published: 03 January 2021 in Annals of Operations Research
Reads 0
Downloads 0

As the people are becoming conscious about protection of the environment from pollutant caused by human beings, businesses are adopting green technology to procure green products to save the environment from pollution. Consequently, it is a challenging task at the firm manager to capture the market providing best green quality at fair price in a given economy. The paper plans to discuss two situations in two models. In model 1, the optimal green quality and sales prices of the manufacturer and the retailer in both decentralize and centralize systems of a two-echelon supply chain system are investigated. The profit functions of the manufacturer and the retailer include procurement costs, selling prices and cost for green level development and then it is analyzed by calculus method to obtain the optimal values of the decision variables. The model 2 focuses on price competition of two substitute products where demand of the end customers depends on price and quality of green product. Both the firms of green and regular products manufacturer are corporate social responsible. In this model, profit functions of the firms 1 & 2 are formulated separately considering revenues from sales items, cost of green quality and contribution for activities of social responsibility. The main objective is to find out optimal prices and green quality in order to maximize the profit functions of individual and integrated systems. The proposed models are analyzed mathematically and numerical examples are illustrated to justify the feasibility of the model in reality.

ACS Style

Shib Sankar Sana. A structural mathematical model on two echelon supply chain system. Annals of Operations Research 2021, 1 -29.

AMA Style

Shib Sankar Sana. A structural mathematical model on two echelon supply chain system. Annals of Operations Research. 2021; ():1-29.

Chicago/Turabian Style

Shib Sankar Sana. 2021. "A structural mathematical model on two echelon supply chain system." Annals of Operations Research , no. : 1-29.

Journal article
Published: 01 January 2021 in Green Finance
Reads 0
Downloads 0
ACS Style

Karuna Rana; Shiv Raj Singh; Neha Saxena; Shib Sankar Sana. Growing items inventory model for carbon emission under the permissible delay in payment with partially backlogging. Green Finance 2021, 3, 153 -174.

AMA Style

Karuna Rana, Shiv Raj Singh, Neha Saxena, Shib Sankar Sana. Growing items inventory model for carbon emission under the permissible delay in payment with partially backlogging. Green Finance. 2021; 3 (2):153-174.

Chicago/Turabian Style

Karuna Rana; Shiv Raj Singh; Neha Saxena; Shib Sankar Sana. 2021. "Growing items inventory model for carbon emission under the permissible delay in payment with partially backlogging." Green Finance 3, no. 2: 153-174.

Methodologies and application
Published: 19 November 2020 in Soft Computing
Reads 0
Downloads 0

Disaster management is one of the most important issues in service organizations, especially in healthcare sector. Due to the occurrences of natural or human-made incidents, requirements of assistance and rescue increase gradually. Hospitals have the vital role in addressing these requirements and therefore should enhance their skill to provide a punctual and appropriate response to these events. An important prerequisite for this level of responsiveness is agility. This study aims to introduce and implement a new approach in order to estimate the agility level of hospitals in disaster management. Founded on the four phases of disaster management, a hospital agility framework is established which showcases the relations between hospital agility factors and phases of disaster management. A new Flowsort-based approach is also introduced through the integration of the conventional Flowsort method with interval type-2 fuzzy sets. This approach is applied for a case study consisting of 30 hospitals seeking to improve their agility in disasters. We use upper and lower control limits (UCL and LCL) to define the categories of Flowsort method. The results show that 40% of the hospitals position in between the \( \pm \,2\delta \) and \( \pm \,3\delta \) limits, i.e., the best and the worst categories. Results also approve the ability of the proposed method in evaluation of hospitals based on their agility factors and represent a geographical observation on the hospitals. Some indications about required actions for hospitals of each category in order to increase or maintain their agility level in disaster management are also provided.

ACS Style

Arash Moheimani; Reza Sheikh; Seyed Mohammad Hassan Hosseini; Shib Sankar Sana. Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system. Soft Computing 2020, 25, 3955 -3974.

AMA Style

Arash Moheimani, Reza Sheikh, Seyed Mohammad Hassan Hosseini, Shib Sankar Sana. Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system. Soft Computing. 2020; 25 (5):3955-3974.

Chicago/Turabian Style

Arash Moheimani; Reza Sheikh; Seyed Mohammad Hassan Hosseini; Shib Sankar Sana. 2020. "Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system." Soft Computing 25, no. 5: 3955-3974.

Earlycite article
Published: 26 August 2020 in Information & Computer Security
Reads 0
Downloads 0

Purpose This paper aims to examine optimal decisions for information security investments for a firm in a fuzzy environment. Under both sequential and simultaneous attack scenarios, optimal investment of firm, optimal efforts of attackers and their economic utilities are determined. Design/methodology/approach Throughout the analysis, a single firm and two attackers for a “firm as a leader” in a sequential game setting and “firm versus attackers” in a simultaneous game setting are considered. While the firm makes investments to secure its information assets, the attackers spend their efforts to launch breaches. Findings It is observed that the firm needs to invest more when it announces its security investment decisions ahead of attacks. In contrast, the firm can invest relatively less when all agents are unaware of each other’s choices in advance. Further, the study reveals that attackers need to exert higher effort when no agent enjoys the privilege of being a leader. Research limitations/implications In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator. Practical implications This study reports that the optimal breach effort exerted by each attacker is proportional to its obtained economic benefit for both sequential and simultaneous attack scenarios. A set of numerical experiments and sensitivity analyzes complement the analytical modeling. Originality/value In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.

ACS Style

Rohit Gupta; Baidyanath Biswas; Indranil Biswas; Shib Sankar Sana. Firm investment decisions for information security under a fuzzy environment: a game-theoretic approach. Information & Computer Security 2020, 29, 73 -104.

AMA Style

Rohit Gupta, Baidyanath Biswas, Indranil Biswas, Shib Sankar Sana. Firm investment decisions for information security under a fuzzy environment: a game-theoretic approach. Information & Computer Security. 2020; 29 (1):73-104.

Chicago/Turabian Style

Rohit Gupta; Baidyanath Biswas; Indranil Biswas; Shib Sankar Sana. 2020. "Firm investment decisions for information security under a fuzzy environment: a game-theoretic approach." Information & Computer Security 29, no. 1: 73-104.

Special issue paper
Published: 03 August 2020 in Mathematical Methods in the Applied Sciences
Reads 0
Downloads 0

In recent years, offering credit period by the supplier to the retailer has become a usual strategy. Hence, in the present work, an inventory model for noninstantaneous deteriorating items is framed considering money inflation and time discounting, where a permissible delay period is offered by the supplier as an alternative to price discount. Further, the salvage value associated with deteriorated units is considered, and the shortages allowed are partially backlogged. Focus is made on obtaining the optimal replenishment policy by minimizing the total inventory cost. This is achieved by developing mathematical theorems that determines the existence and the uniqueness of the optimal solutions. Moreover, computational algorithm is designed and illustrated using numerical examples and analysis. Various managerial insights obtained from the analysis are also highlighted.

ACS Style

R. Udayakumar; K.V. Geetha; Shib Sankar Sana. Economic ordering policy for non‐instantaneous deteriorating items with price and advertisement dependent demand and permissible delay in payment under inflation. Mathematical Methods in the Applied Sciences 2020, 44, 7697 -7721.

AMA Style

R. Udayakumar, K.V. Geetha, Shib Sankar Sana. Economic ordering policy for non‐instantaneous deteriorating items with price and advertisement dependent demand and permissible delay in payment under inflation. Mathematical Methods in the Applied Sciences. 2020; 44 (9):7697-7721.

Chicago/Turabian Style

R. Udayakumar; K.V. Geetha; Shib Sankar Sana. 2020. "Economic ordering policy for non‐instantaneous deteriorating items with price and advertisement dependent demand and permissible delay in payment under inflation." Mathematical Methods in the Applied Sciences 44, no. 9: 7697-7721.

Journal article
Published: 04 June 2020 in RAIRO - Operations Research
Reads 0
Downloads 0

The objective of the proposed article is to minimize the transportation costs of foods and medicines from different source points to different hospitals by applying stochastic mathematical programming model to a transportation problem in a multi-choice environment containing the parameters in all constraints which follow the Logistic distribution and cost coefficients of objective function are also multiplicative terms of binary variables. Using the stochastic programming approach, the stochastic constraints are converted into an equivalent deterministic one. A transformation technique is introduced to manipulate cost coefficients of objective function involving multi-choice or goals for binary variables with auxiliary constraints. The auxiliary constraints depends upon the consecutive terms of multi-choice type cost coefficient of aspiration levels. A numerical example is presented to illustrate the whole idea.

ACS Style

Deshabrata Roy Mahapatra; Shibaji Panda; Shib Sankar Sana. Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution. RAIRO - Operations Research 2020, 54, 1119 -1132.

AMA Style

Deshabrata Roy Mahapatra, Shibaji Panda, Shib Sankar Sana. Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution. RAIRO - Operations Research. 2020; 54 (4):1119-1132.

Chicago/Turabian Style

Deshabrata Roy Mahapatra; Shibaji Panda; Shib Sankar Sana. 2020. "Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution." RAIRO - Operations Research 54, no. 4: 1119-1132.