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Dr. Mitali Sarkar
Information Technology Research Center, Chung-Ang University, Seoul 06974, Korea

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Research Keywords & Expertise

0 Bio-Fuel
0 Inventory Management
0 Reliability
0 Supply Chain Management
0 Production Planning and Control

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Smart production
Supply Chain Management
Bio-Fuel
Reliability

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Short Biography

Dr Mitali Sarkar is a PostDoctoral fellow in Chung-Ang University, South Korea. She obtained her PhD in 2017. She has more than 30 research papers in several reputed international journals.

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Journal article
Published: 14 July 2021 in Journal of Cleaner Production
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Increasing energy demand and the rising levels of greenhouse gas emissions have increased the necessity of bioenergy and sustainable energy generation. The sustainable bioenergy supply chain is the key to produce sustainable biofuel. This paper points to render an optimization model for planning a versatile and dependable biomass-to-bioenergy sustainable supply chain network in which crop residuals from several agricultural sectors, multi-transportation disruption modes, multi-biorefineries, multi-biogas plants, and multi-market centers are investigated for two bioenergy sources, namely biofuel and biogas. For this reason, supply chain cost optimization, emissions of feedstock transport, processing, and distributing end biofuel to respective markets are utilized. The multi-setup-multi-delivery (MSMD) concept is incorporated and lead time crashing cost is applied to minimize the lead time in this model. The carbon emission costs at all steps and the variable production rate for the production of bioenergy are included within the model. Finally, one small-scale data and another large-scale data of six agricultural areas, four biorefineries, four biogas plants, and six markets are considered to validate the model's usefulness. The model's goal is to show bioenergy's effect to make a sustainable supply chain of biofuel and biogas. The numerical results reveal that the cost of bioenergy production contributed 54.12%, a major extent of the whole cost in biorefinery and biogas plants. The transportation segment is the preeminent initiator of carbon emissions with 83.33% in the entire carbon emission within the whole supply chain. Although, transportation cost contributed 33.09% of the total cost, the multi setup-delivery-multi-delivery policy minimized the whole supply chain cost. The results provide a systematic guideline for developing a sustainable biofuel supply-chain by minimizing cost, various aspects of transportation logistics, and multi-model alternatives under reduced energy effects.

ACS Style

Biswajit Sarkar; Bablu Mridha; Sarla Pareek; Mitali Sarkar; Lakshmi Thangavelu. A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. Journal of Cleaner Production 2021, 317, 128079 .

AMA Style

Biswajit Sarkar, Bablu Mridha, Sarla Pareek, Mitali Sarkar, Lakshmi Thangavelu. A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. Journal of Cleaner Production. 2021; 317 ():128079.

Chicago/Turabian Style

Biswajit Sarkar; Bablu Mridha; Sarla Pareek; Mitali Sarkar; Lakshmi Thangavelu. 2021. "A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network." Journal of Cleaner Production 317, no. : 128079.

Journal article
Published: 12 March 2021 in Energies
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Supply chain management aims to integrate environmental thinking with efficient energy consumption into supply chain management. It includes a flexible manufacturing process, more product delivery to customers, optimum energy consumption, and reduced waste. The manufacturing process can be made more flexible through volume agility. In this scenario, production cannot be constant, and with the concept of volume agility, production is taken as a decision variable under the effect of optimum energy consumption. Considering a two-echelon supply chain, we consider a producer and supplier with two-level-trade-credit policies (TLTCP) with the optimum consumption. To reduce the integrated total inventory cost, we believe that demand is a function of the credit period and selling price. The cost function is analyzed, either with the credit period dependent demand rate or with the selling price dependent demand rate through the numerical examples under energy costs. Energy and carbon emission costs are introduced in setup/ordering cost, holding cost, and item cost for producer and supplier. The effect of inflation on the total cost cannot be ignored; this model is being developed for deteriorating items with the simultaneous impact of volume agility, energy, carbon emission cost, and two-level-trade-credit policies with inflation. This supply chain model was solved analytically and obtained the optimum decision variables in a quasi-closed form solution. An illustrative theorem is being utilized to analyze the optimum result for all the decision parameters. The convexity of the objective function is being obtained analytically as well as graphically. Finally, numerical examples and sensitivity analysis are employed to illustrate the present study and with managerial insights.

ACS Style

Vandana; S. Singh; Dharmendra Yadav; Biswajit Sarkar; Mitali Sarkar. Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy. Energies 2021, 14, 1569 .

AMA Style

Vandana, S. Singh, Dharmendra Yadav, Biswajit Sarkar, Mitali Sarkar. Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy. Energies. 2021; 14 (6):1569.

Chicago/Turabian Style

Vandana; S. Singh; Dharmendra Yadav; Biswajit Sarkar; Mitali Sarkar. 2021. "Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy." Energies 14, no. 6: 1569.

Journal article
Published: 06 February 2021 in Sustainability
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Every industry always tries to provide the best service to its consumers. To provide better service to the consumer and optimize profit, a sustainable online-to-offline retailing strategy is proposed in this current study. Both online and offline systems are considered here, i.e., to provide the best service, the industry sells its products online and offline. Due to the consideration of online and offline systems, the selling price of the products is also different for different modes, and the demand for a particular product is the combined demand of online demand and offline demand, which depend on the selling price of the product. Moreover, the exact lead time and exact backorder are calculated to obtain the system’s exact cost or profit, which directly improves the system’s service. Different investments are incorporated to optimize the total system profit. A distribution-free approach is utilized to solve this model. Numerical examples are provided to prove the applicability of the model in reality. Sensitivity analysis is performed based on critical parameters. Special cases and graphical representations also prove the global optimality of the current study.

ACS Style

Biswajit Sarkar; Bikash Dey; Mitali Sarkar; Ali AlArjani. A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand. Sustainability 2021, 13, 1756 .

AMA Style

Biswajit Sarkar, Bikash Dey, Mitali Sarkar, Ali AlArjani. A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand. Sustainability. 2021; 13 (4):1756.

Chicago/Turabian Style

Biswajit Sarkar; Bikash Dey; Mitali Sarkar; Ali AlArjani. 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand." Sustainability 13, no. 4: 1756.

Journal article
Published: 03 January 2021 in Energies
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Renewable energy and environmental issues are receiving considerable attention worldwide along with the technological development of production system for reducing global warming. Due to the use of smart technologies, the rate of carbon emission and energy utilization have become very high and are directly related to different industries. This study focuses on the effect of renewable energy on the advancement of smart production with a flexible production rate as well as the reduction of carbon emission to build a sustainable smart production system. A mathematical model is developed to maximize the profit of the smart production system for economic development while considering technological and environmental issues. The model is solved analytically, and we obtain closed and quasi-closed form solutions. A numerical experiment is performed, and a comparison with previous studies indicates that our method achieves more profit than existing ones. Additionally, we highlight the major effect of renewable energy. Different graphical representations of the decision variables prove the convergence of the model. A sensitivity analysis and graphical representation are presented in this paper, and some recommendations for industry are provided by simulating this model in different scenarios.

ACS Style

Mitali Sarkar; Byung Do Chung. Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step toward Sustainability. Energies 2021, 14, 215 .

AMA Style

Mitali Sarkar, Byung Do Chung. Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step toward Sustainability. Energies. 2021; 14 (1):215.

Chicago/Turabian Style

Mitali Sarkar; Byung Do Chung. 2021. "Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step toward Sustainability." Energies 14, no. 1: 215.

Journal article
Published: 13 July 2020 in Mathematics
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This study explains about a serial smart production system where a single-type of product is produced. This system uses an unequally sized batch policy in subsequent stages. The setup cost is not always deterministic, it can be controllable and reduced by increasing the capital investment cost, and that the production rates in the system may vary within given limits across batches of shipments. Furthermore, as imperfect items are produced in long-run system, to clean the imperfectness autonomation policy is adopted for inspection, which make the process smarter. The shipment lot sizes of the deliveries are unequal and variable. In long-run production system, defective items are produced in “out-of-control” state. In this model, the defect rate is random with a uniform distribution which is clean from the system by autonomation. In addition, in the remanufacturing process, it is assuming that all defective products are repaired, and no defective products are scrapped. The main theme of developing this model is to determine the number of shipments and the optimal production lot size to adjust the production rates and decrease the total system cost under a reduced setup cost by considering the discrete investment and make a serial smart production system. A solution procedure along with an advanced algorithm was proposed for solving the model. Numerical examples with some graphical representations are provided to validate the model.

ACS Style

Mitali Sarkar; Li Pan; Bikash Koli Dey; Biswajit Sarkar. Does the Autonomation Policy Really Help in a Smart Production System for Controlling Defective Production? Mathematics 2020, 8, 1142 .

AMA Style

Mitali Sarkar, Li Pan, Bikash Koli Dey, Biswajit Sarkar. Does the Autonomation Policy Really Help in a Smart Production System for Controlling Defective Production? Mathematics. 2020; 8 (7):1142.

Chicago/Turabian Style

Mitali Sarkar; Li Pan; Bikash Koli Dey; Biswajit Sarkar. 2020. "Does the Autonomation Policy Really Help in a Smart Production System for Controlling Defective Production?" Mathematics 8, no. 7: 1142.

Journal article
Published: 20 March 2020 in Journal of Cleaner Production
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A smart multi-stage biofuel production system may be used for reduction of energy and waste. The basic traditional multi-stage biofuel production system can be transferred into a sustainable smart production system by utilizing smart machines, skilled labors, and reduced energy consumption. The biofuel can save the amount of existing fuel demand. For this aim, the model studies a smart multi-stage production system to produce the pure biofuel with less amount of energy consumption and carbon emission. The work-in-process inventory is calculated for different costs including energy and carbon emission cost. To reduce carbon emission and energy consumption, the smart production with a variable production rate is utilized to make the production system controllable such that the percentage of impure biofuel is reduced. Even though a smart production is utilized, still impure biofuel is produced with a random production rate. The impure biofuel is remanufactured again to make as perfect. The total cost is minimized globally with the help of the classical optimization technique. A quasi-closed form of the solution is obtained for each decision variable. Four numerical experiments are conducted to validate the model. Two special cases are provided to prove the necessity of smart production and investment. It is found that the amount of impure biofuel really can be minimized by using the proposed strategy through the reduced renewable energy consumption. The sensitivity analysis and the graphical representation give the effect of each parameter with the total cost of the model. Numerical results prove a major effect on the renewable energy in a sustainable smart production system.

ACS Style

Mitali Sarkar; Biswajit Sarkar. How does an industry reduce waste and consumed energy within a multi-stage smart sustainable biofuel production system? Journal of Cleaner Production 2020, 262, 121200 .

AMA Style

Mitali Sarkar, Biswajit Sarkar. How does an industry reduce waste and consumed energy within a multi-stage smart sustainable biofuel production system? Journal of Cleaner Production. 2020; 262 ():121200.

Chicago/Turabian Style

Mitali Sarkar; Biswajit Sarkar. 2020. "How does an industry reduce waste and consumed energy within a multi-stage smart sustainable biofuel production system?" Journal of Cleaner Production 262, no. : 121200.

Journal article
Published: 25 July 2019 in Energies
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Sustainable efficient energy is the key factor of any sustainable manufacturing system. This study addresses a multi-item sustainable economic energy efficient reliable manufacturing quantity (MSEEERMQ) model. The manufacturing system produces defective products during long-runs, where those products may be reworked under the optimum effect of energy and carbon footprint with some costs. As all products are not sold immediately, the holding cost increases based on time. The management decides the system design variable to reduce energy consumption cost and increase system reliability under some time-dependent holding costs, and the optimum energy such that the maximum profit of the production model is obtained with a system reliability as a decision variable. The inflation and time-value of money are considered to calculate the cost of the production model under efficient energy. Using control theory, an Euler–Lagrange method is employed to obtain the sustainable critical path, which gives the optimal solution of the model. There are two lemmas to prove the global optimal solution of the model through the control theory. There is an illustrative example to test the model. Under different conditions there are other two examples with graphical representation and sensitivity analysis. Numerical studies reveal that maximum profit is obtained at the optimal value of the decision variable.

ACS Style

Mitali Sarkar; Sungjun Kim; Jihed Jemai; Baishakhi Ganguly; Biswajit Sarkar. An Application of Time-Dependent Holding Costs and System Reliability in a Multi-Item Sustainable Economic Energy Efficient Reliable Manufacturing System. Energies 2019, 12, 2857 .

AMA Style

Mitali Sarkar, Sungjun Kim, Jihed Jemai, Baishakhi Ganguly, Biswajit Sarkar. An Application of Time-Dependent Holding Costs and System Reliability in a Multi-Item Sustainable Economic Energy Efficient Reliable Manufacturing System. Energies. 2019; 12 (15):2857.

Chicago/Turabian Style

Mitali Sarkar; Sungjun Kim; Jihed Jemai; Baishakhi Ganguly; Biswajit Sarkar. 2019. "An Application of Time-Dependent Holding Costs and System Reliability in a Multi-Item Sustainable Economic Energy Efficient Reliable Manufacturing System." Energies 12, no. 15: 2857.

Journal article
Published: 29 May 2019 in Energies
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A smart production system is essential to produce complex products under the consumption of efficient energy. The main ramification of controllable production rate, amount of production size, and safety stocks

ACS Style

Mitali Sarkar; Biswajit Sarkar. Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management. Energies 2019, 12, 2059 .

AMA Style

Mitali Sarkar, Biswajit Sarkar. Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management. Energies. 2019; 12 (11):2059.

Chicago/Turabian Style

Mitali Sarkar; Biswajit Sarkar. 2019. "Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management." Energies 12, no. 11: 2059.

Journal article
Published: 19 May 2019 in Mathematics
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Each industry prefers to sell perfect products in order to maintain its brand image. However, due to a long-run single-stage production system, the industry generally obtains obstacles. To solve this issue, a single-stage manufacturing model is formulated to make a perfect production system without defective items. For this, the industry decides to stop selling any products until whole products are ready to fulfill the order quantity. Furthermore, manufacturing managers prefer product qualification from the inspection station especially when processes are imperfect. The purpose of the proposed manufacturing model considers that the customer demands are not fulfilled during the production phase due to imperfection in the process, however customers are satisfied either at the end of the inspection process or after reworking the imperfect products. Rework operation, inspection process, and planned backordering are incorporated in the proposed model. An analytical approach is utilized to optimize the lot size and planned backorder quantities based on the minimum average cost. Numerical examples are used to illustrate and compare the proposed model with previously developed models. The proposed model is considered more beneficial in comparison with the existing models as it incorporates imperfection, rework, inspection rate, and planned backorders.

ACS Style

Chang Wook Kang; Misbah Ullah; Mitali Sarkar; Muhammad Omair; Biswajit Sarkar. A Single-Stage Manufacturing Model with Imperfect Items, Inspections, Rework, and Planned Backorders. Mathematics 2019, 7, 446 .

AMA Style

Chang Wook Kang, Misbah Ullah, Mitali Sarkar, Muhammad Omair, Biswajit Sarkar. A Single-Stage Manufacturing Model with Imperfect Items, Inspections, Rework, and Planned Backorders. Mathematics. 2019; 7 (5):446.

Chicago/Turabian Style

Chang Wook Kang; Misbah Ullah; Mitali Sarkar; Muhammad Omair; Biswajit Sarkar. 2019. "A Single-Stage Manufacturing Model with Imperfect Items, Inspections, Rework, and Planned Backorders." Mathematics 7, no. 5: 446.

Journal article
Published: 30 October 2018 in Energies
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To form a smart production system, the effect of energy and machines’ failure rate plays an important role. The main issue is to make a smart production system for complex products that the system may produce several defective items during a long-run production process with an unusual amount of energy consumption. The aim of the model is to obtain the optimum amount of smart lot, the production rate, and the failure rate under the effect of energy. This study contains a multi-item economic imperfect production lot size energy model considering a failure rate as a system design variable under a budget and a space constraint. The model assumes an inspection cost to ensure product’s quality under perfect energy consumption. Failure rate and smart production rate dependent development cost under energy consumption are considered, i.e., lower values of failure rate give higher values of development cost and vice versa under the effect of proper utilization of energy. The manufacturing system moves from in-control state to out-of-control state at a random time. The theory of nonlinear optimization (Kuhn–Tucker method) is employed to solve the model. There is a lemma to obtain the global optimal solution for the model. Two numerical examples, graphical representations, and sensitivity analysis of key parameters are given to illustrate the model.

ACS Style

Mitali Sarkar; Biswajit Sarkar; Muhammad Waqas Iqbal. Effect of Energy and Failure Rate in a Multi-Item Smart Production System. Energies 2018, 11, 2958 .

AMA Style

Mitali Sarkar, Biswajit Sarkar, Muhammad Waqas Iqbal. Effect of Energy and Failure Rate in a Multi-Item Smart Production System. Energies. 2018; 11 (11):2958.

Chicago/Turabian Style

Mitali Sarkar; Biswajit Sarkar; Muhammad Waqas Iqbal. 2018. "Effect of Energy and Failure Rate in a Multi-Item Smart Production System." Energies 11, no. 11: 2958.

Journal article
Published: 27 August 2018 in Robotics and Computer-Integrated Manufacturing
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A two-echelon supply chain model is formulated to reduce lead time and setup time to obtain their impacts on the expected total cost when lead time demand is stochastic in nature. Two different safety factors are utilized to avoid shortages even though the system contains backorder. The lead time is lot size dependent and consists of production time as well as setup time. It does not follow any particular distribution as only mean and standard deviation are known to us. A distribution free approach is used here to handle this situation. Quality improvement and safety factor are related issues to make an impact in the model as they are directly related to the customer satisfaction. The unit production cost is variable and dependent on production rate. An analytical procedure is derived to investigate the effects of reducing lead time, setup time crashing cost, and transportation crashing cost. Some numerical examples are illustrated to test the model. Sensitivity analysis and managerial insights are given to show the applicability of the model.

ACS Style

Biswajit Sarkar; Rekha Guchhait; Mitali Sarkar; Sarla Pareek; Namhun Kim. Impact of safety factors and setup time reduction in a two-echelon supply chain management. Robotics and Computer-Integrated Manufacturing 2018, 55, 250 -258.

AMA Style

Biswajit Sarkar, Rekha Guchhait, Mitali Sarkar, Sarla Pareek, Namhun Kim. Impact of safety factors and setup time reduction in a two-echelon supply chain management. Robotics and Computer-Integrated Manufacturing. 2018; 55 ():250-258.

Chicago/Turabian Style

Biswajit Sarkar; Rekha Guchhait; Mitali Sarkar; Sarla Pareek; Namhun Kim. 2018. "Impact of safety factors and setup time reduction in a two-echelon supply chain management." Robotics and Computer-Integrated Manufacturing 55, no. : 250-258.

Journal article
Published: 01 January 2017 in Journal of Industrial & Management Optimization
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ACS Style

Mitali Sarkar; Young Hae Lee. Optimum pricing strategy for complementary products with reservation price in a supply chain model. Journal of Industrial & Management Optimization 2017, 13, 1553 -1586.

AMA Style

Mitali Sarkar, Young Hae Lee. Optimum pricing strategy for complementary products with reservation price in a supply chain model. Journal of Industrial & Management Optimization. 2017; 13 (3):1553-1586.

Chicago/Turabian Style

Mitali Sarkar; Young Hae Lee. 2017. "Optimum pricing strategy for complementary products with reservation price in a supply chain model." Journal of Industrial & Management Optimization 13, no. 3: 1553-1586.