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Dr. Sobhan Asian
La Trobe University

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Research Keywords & Expertise

0 supply chain coordination
0 Supply Chain Analytics
0 Supply chain collaboration and integration
0 Logistics and supply chain in developing countries
0 Supply chain risk and resilience

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Journal article
Published: 12 May 2021 in Applied Soft Computing
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Innovative manufacturing firms strive to sustain and enhance their competitive advantages by running a range of new product development (NPD) projects in a consistent manner. The capital and time required to execute the NPD projects have substantially increased over the past years. This magnified the risk-aversion behavior of R&D managers and has increased their sensitivity towards the underlying risk of NPD projects. In particular, the R&D departments have recently started to proactively assess the accuracy of ambiguous information that is extensively used in preliminary market study and customer requirements analysis. Thanks to its high performance in dynamic environments, the R-numbers method can be employed to capture and analyze the risk of fuzzy numbers in a variety of decision making models. To tackle the complexity of such analysis, this paper proposes a novel risk-based fuzzy VIKOR (R-VIKOR) methodology. Using the interpretive structural modeling, the risk factors are first classified to identify and rank the existing critical risk factors of NPD projects. The ultimate goal of this study is to develop a practical yet simple decision support system tool that enables the R&D managers to effectively examine the riskiness of fuzzy information and assess the relevant risk factors. A real-world case study is presented to test and examine the accuracy and effectiveness of the proposed risk management method.

ACS Style

Seyedeh Anahita Mousavi; Hamidreza Seiti; Ashkan Hafezalkotob; Sobhan Asian; Rouhollah Mobarra. Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach. Applied Soft Computing 2021, 109, 107456 .

AMA Style

Seyedeh Anahita Mousavi, Hamidreza Seiti, Ashkan Hafezalkotob, Sobhan Asian, Rouhollah Mobarra. Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach. Applied Soft Computing. 2021; 109 ():107456.

Chicago/Turabian Style

Seyedeh Anahita Mousavi; Hamidreza Seiti; Ashkan Hafezalkotob; Sobhan Asian; Rouhollah Mobarra. 2021. "Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach." Applied Soft Computing 109, no. : 107456.

Journal article
Published: 08 April 2021 in Computers & Industrial Engineering
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Cross-docking is an effective logistics strategy that has long been employed in supply chains with perishable products, where short processing time of goods is required. In this paper, a new multi-objective mixed-integer programming (MIP) model is proposed for scheduling and routing of heterogeneous vehicles carrying perishable goods across multiple cross-docking systems. Inspired by the actual business operations of a large supermarket chain, multiple cross-docks with simultaneous split pick-up and delivery tasks are considered, each of which processing either general or perishable products. In addition, all pick-up/delivery (P/D) requests for perishable products have a deadline that must be met. The main objectives of the developed model are to reduce distribution costs, accelerate distribution processing time, and maximize the cross-docking network’s capacity utilization rate. To overcome the complexity of the formulated problem, a novel hybrid solution method, namely AUGMECON2-VIKOR is developed and used in the case-study. The results reveal that AUGMECON2-VIKOR outperforms AUGMECON2, particularly when a larger number of grid points are considered in the proposed solution algorithm.

ACS Style

Reza Shahabi-Shahmiri; Sobhan Asian; Reza Tavakkoli-Moghaddam; Seyed Meysam Mousavi; Mohsen Rajabzadeh. A routing and scheduling problem for cross-docking networks with perishable products, heterogeneous vehicles and split delivery. Computers & Industrial Engineering 2021, 157, 107299 .

AMA Style

Reza Shahabi-Shahmiri, Sobhan Asian, Reza Tavakkoli-Moghaddam, Seyed Meysam Mousavi, Mohsen Rajabzadeh. A routing and scheduling problem for cross-docking networks with perishable products, heterogeneous vehicles and split delivery. Computers & Industrial Engineering. 2021; 157 ():107299.

Chicago/Turabian Style

Reza Shahabi-Shahmiri; Sobhan Asian; Reza Tavakkoli-Moghaddam; Seyed Meysam Mousavi; Mohsen Rajabzadeh. 2021. "A routing and scheduling problem for cross-docking networks with perishable products, heterogeneous vehicles and split delivery." Computers & Industrial Engineering 157, no. : 107299.

Journal article
Published: 08 April 2021 in Transportation Research Part E: Logistics and Transportation Review
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This paper investigates the moderating role of a host government that promotes a multi-sided platform (MSP) as an alternative supply chain finance (SCF) solution. The MSP comprises equity crowdfunding, fixed-income funds, and low-rate lending facilities. We examine the sequential interactions between the host government (as the dominant legislator), a crowd of risk-averse small investors, and two competing SCs (local and foreign) that are engaged in Cournot competition. The players’ equilibrium strategies are characterized under two platform power structures, namely small investors-led and SC-led. The joint impact of government legislation and platform’s configuration on the performance of the proposed SCF mechanism is investigated. Results reveal that, while the regulated MSP outperforms a deregulated scenario, the profit-seeking behavior of the host government may intensify the power struggle between the local SC and small investors, and restrict the platform’s overall performance. To successfully practice smart protectionism, policy makers are urged to reframe existing SCF schemes by leveraging their moderating influence and prioritizing social welfare over their short-term economic goals. This not only abates the power imbalance in MSPs, but also enhances the players’ participation and enables host governments to further support their digital platform economy in the era of reglobalization.

ACS Style

Raziyeh Reza-Gharehbagh; Sobhan Asian; Ashkan Hafezalkotob; Chen Wei. Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms. Transportation Research Part E: Logistics and Transportation Review 2021, 149, 102298 .

AMA Style

Raziyeh Reza-Gharehbagh, Sobhan Asian, Ashkan Hafezalkotob, Chen Wei. Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms. Transportation Research Part E: Logistics and Transportation Review. 2021; 149 ():102298.

Chicago/Turabian Style

Raziyeh Reza-Gharehbagh; Sobhan Asian; Ashkan Hafezalkotob; Chen Wei. 2021. "Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms." Transportation Research Part E: Logistics and Transportation Review 149, no. : 102298.

Journal article
Published: 31 March 2021 in Annals of Operations Research
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Humanitarian logistics is an integral part of disaster relief operations, which involves the phases of preparedness, disaster operations, and post-disaster operations. Integrating the planning and execution between phases minimizes the gaps in providing relief to the affected population. This paper presents a two-stage multi-objective mathematical model for integrated decision-making during the preparation and response phases. The proposed model is developed to jointly optimize the location of emergency shelters (and/or depots) and coordinate the movement of relief vehicles between the disaster site and emergency shelters. Focusing on the optimal distribution of relief supplies to the emergency shelters, the proposed model aims to minimize the operational, distributive injustice, and dissatisfaction costs. To address the computational complexity of the introduced model, two multi-objective meta-heuristics, namely multi-objective vibration damping optimization and non-dominated sorting genetic algorithm (NSGA-II), are used. A comprehensive sensitivity analysis is conducted to study the impacts of variations in key parameters on model output under different scenarios. Our results suggests that the employed solution algorithms outperform the traditional optimization methods in achieving the Pareto-Front solutions.

ACS Style

Hasti Seraji; Reza Tavakkoli-Moghaddam; Sobhan Asian; Harpreet Kaur. An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty. Annals of Operations Research 2021, 1 -47.

AMA Style

Hasti Seraji, Reza Tavakkoli-Moghaddam, Sobhan Asian, Harpreet Kaur. An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty. Annals of Operations Research. 2021; ():1-47.

Chicago/Turabian Style

Hasti Seraji; Reza Tavakkoli-Moghaddam; Sobhan Asian; Harpreet Kaur. 2021. "An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty." Annals of Operations Research , no. : 1-47.

Preprint
Published: 10 March 2021 in SSRN Electronic Journal
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This paper investigates the moderating role of a host government that promotes a multi-sided platform (MSP) as an alternative supply chain finance (SCF) solution. The MSP comprises equity crowdfunding, fixed-income funds, and low-rate lending facilities. We examine the sequential interactions between the host government (as the dominant legislator), a crowd of risk-averse small investors, and two competing SCs (i.e., local and foreign) that are engaged in Cournot competition. The players’ equilibrium strategies are characterized under two platform power structures, namely small investors-led and SC-led. The joint impact of government legislation and platform configuration on the successful implementation of the proposed SCF mechanism is investigated. Results reveal that, while the regulated MSP outperforms a deregulated scenario, the profit-seeking behavior of the host government may intensify the power struggle between the local SC and small investors and restrict the platform’s overall performance. To successfully practice smart protectionism, the policy makers are urged to reframe the existing SCF schemes by leveraging their moderating influence and prioritizing social welfare over their short-term economic goals. This not only abates the power imbalance in the MSPs, but also enhances the players’ participation and enables the host governments to further support indigenous innovation in the era of reglobalization.

ACS Style

Sobhan Asian. Reframing Supply Chain Finance in an Era of Reglobalization: On the Value of Multi-sided Crowdfunding Platforms. SSRN Electronic Journal 2021, 1 .

AMA Style

Sobhan Asian. Reframing Supply Chain Finance in an Era of Reglobalization: On the Value of Multi-sided Crowdfunding Platforms. SSRN Electronic Journal. 2021; ():1.

Chicago/Turabian Style

Sobhan Asian. 2021. "Reframing Supply Chain Finance in an Era of Reglobalization: On the Value of Multi-sided Crowdfunding Platforms." SSRN Electronic Journal , no. : 1.

Journal article
Published: 22 February 2021 in Sustainability
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Despite the substantial efforts of governments in promoting sustainable development, there exists a considerable debate regarding the environmental policy making approach under information ambiguity and competition. This study investigates market competition between a green and a non-green supply chain (SC) under two government regulation policies, namely, selling price and production quantities. To tackle the policy making challenges, a fuzzy game theoretical model was employed in a centralized and decentralized SC setting. The results revealed that SCs always achieve a higher expected profit under a decentralized structure, regardless of the type of the governments intervention policy. Also, the government’s policy making success was found to be highly dependent on the channel leadership, market competition, and the SC structure. Our findings suggest that the policy makers’ objectives in reducing environmental pollution and increasing revenue are highly achievable, without risk of losing channel coordination and maximum level of efficiency.

ACS Style

Mina Rahimi; Ashkan Hafezalkotob; Sobhan Asian; Luis Martínez. Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach. Sustainability 2021, 13, 2367 .

AMA Style

Mina Rahimi, Ashkan Hafezalkotob, Sobhan Asian, Luis Martínez. Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach. Sustainability. 2021; 13 (4):2367.

Chicago/Turabian Style

Mina Rahimi; Ashkan Hafezalkotob; Sobhan Asian; Luis Martínez. 2021. "Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach." Sustainability 13, no. 4: 2367.

Earlycite article
Published: 29 September 2020 in Information Technology & People
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PurposeThis study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adoption in four developing countries.Design/methodology/approachThis study was undertaken using a quantitative approach. A survey was distributed among 1,013 caregivers in four developing countries in Asia including Iran, Azerbaijan, Turkmenistan and Iraq and collected quantitative data for model validation and hypotheses analysis. Building on the technology adoption literature, we identified six constructs that impact the behavioral intention of caregivers to use wearable technologies in aged care-providing organizations.FindingsOur dual-factor model was successfully validated, and all hypotheses were supported. However, different results were found in the selected countries within the cross-country analysis.Originality/valueThis study has significant implications for the study of emerging technologies in aged care service operations. It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers.

ACS Style

Seyed Mohammad Sadegh Khaksar; Asghar Afshar Jahanshahi; Bret Slade; Sobhan Asian. A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis. Information Technology & People 2020, ahead-of-p, 1 .

AMA Style

Seyed Mohammad Sadegh Khaksar, Asghar Afshar Jahanshahi, Bret Slade, Sobhan Asian. A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis. Information Technology & People. 2020; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Seyed Mohammad Sadegh Khaksar; Asghar Afshar Jahanshahi; Bret Slade; Sobhan Asian. 2020. "A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis." Information Technology & People ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 25 September 2020 in Transportation Research Part E: Logistics and Transportation Review
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This paper studies a luxury sporting goods supply chain (LSGSC) experiencing trade disruption and market volatility. We propose a flexible trade credit contract with minimum order quantity (MOQ) and design a coordination mechanism between a supplier and a loss-averse wholesaler. We extend our study to a multi-tiered product setting and examine the impacts of social influences and loss aversion on SC decisions and channel coordination. Given the gloomy post-Covid-19 economic prospects in an era of reglobalization, this study urges trade associations and business leaders to immunize their SCs by considering behavioral biases and social influences and revisiting their contractual obligations.

ACS Style

Sobhan Asian; Jian Wang; Geoff Dickson. Trade disruptions, behavioral biases, and social influences: Can luxury sporting goods supply chains be immunized? Transportation Research Part E: Logistics and Transportation Review 2020, 143, 102064 -102064.

AMA Style

Sobhan Asian, Jian Wang, Geoff Dickson. Trade disruptions, behavioral biases, and social influences: Can luxury sporting goods supply chains be immunized? Transportation Research Part E: Logistics and Transportation Review. 2020; 143 ():102064-102064.

Chicago/Turabian Style

Sobhan Asian; Jian Wang; Geoff Dickson. 2020. "Trade disruptions, behavioral biases, and social influences: Can luxury sporting goods supply chains be immunized?" Transportation Research Part E: Logistics and Transportation Review 143, no. : 102064-102064.

Research article
Published: 15 July 2020 in Maritime Policy & Management
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This paper addresses an in-port multi-ship routing and scheduling problem in maritime transportation. The key objective is to find an optimal routing and schedule for multiple ships that are planned to pick up or deliver cargos located in the various terminals of a port with different draft limits. Using the multiple traveling salesman problem (mTSP) as a base, we formulate a multi-ship routing and scheduling model with draft limits and time windows constraints. To solve the developed model, a two-stage solution method based on dynamic programming and branch-and-bound algorithms is developed. The solution approach is applied to 41 real-sized problem instances. Our experiments revealed that the proposed method outperforms CPLEX by accurately solving the problem instances in a reasonable time. The formulated problem and presented solution can be implemented in fleet operations of autonomous ships in smart maritime transportation systems of the future.

ACS Style

Mehdi Mahmoodjanloo; Gang Chen; Sobhan Asian; Seyed Hossein Iranmanesh; Reza Tavakkoli-Moghaddam. In-port multi-ship routing and scheduling problem with draft limits. Maritime Policy & Management 2020, 1 -22.

AMA Style

Mehdi Mahmoodjanloo, Gang Chen, Sobhan Asian, Seyed Hossein Iranmanesh, Reza Tavakkoli-Moghaddam. In-port multi-ship routing and scheduling problem with draft limits. Maritime Policy & Management. 2020; ():1-22.

Chicago/Turabian Style

Mehdi Mahmoodjanloo; Gang Chen; Sobhan Asian; Seyed Hossein Iranmanesh; Reza Tavakkoli-Moghaddam. 2020. "In-port multi-ship routing and scheduling problem with draft limits." Maritime Policy & Management , no. : 1-22.

Article
Published: 05 September 2019 in International Transactions in Operational Research
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While peer‐to‐peer (P2P) financing mechanisms have recently gained significant popularity, small and medium sized enterprise (SME) entrepreneurs still harbor a considerable degree of skepticism about the role of governments in promoting alternative supply chain finance (SCF) solutions in the re‐emergence of supply chain (SC) localization. This paper studies the SC financing problem of a capital‐constrained SME entrepreneur under two alternative financing schemes provided by an online P2P lending‐investment platform, namely debt financing (DF) and equity financing (EF). Considering the competition between a local and a foreign SC in a shared market, we investigate the direct (i.e., subsidizing domestic production) and indirect (i.e., subsidizing P2P platform service fee) roles of government intervention toward SC localization. Formulating a three‐level Stackelberg game model, this paper presents a scenario‐based decision‐making framework to jointly evaluate four different SCF scenarios through the lens of local SC, P2P financing platforms, and government. The results reveal that there exist three possible regions (i.e., DF, EF, and Conflict), within which the government and the P2P financing platforms can examine the alternative SCF schemes in order to achieve a mutually agreeable agreement. Our sensitivity analysis on interest rate and exchange ratio suggests that, when financed via an online P2P lending platform (i.e., DF), the local SC always achieves a higher profit under the direct intervention policy. The indirect policy, however, is preferred only when EF is the main source of SCF and the exchange ratio is sufficiently high.

ACS Style

Raziyeh Reza‐Gharehbagh; Ashkan Hafezalkotob; Sobhan Asian; Ahmad Makui; Allan N. Zhang. Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization. International Transactions in Operational Research 2019, 27, 2534 -2558.

AMA Style

Raziyeh Reza‐Gharehbagh, Ashkan Hafezalkotob, Sobhan Asian, Ahmad Makui, Allan N. Zhang. Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization. International Transactions in Operational Research. 2019; 27 (5):2534-2558.

Chicago/Turabian Style

Raziyeh Reza‐Gharehbagh; Ashkan Hafezalkotob; Sobhan Asian; Ahmad Makui; Allan N. Zhang. 2019. "Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization." International Transactions in Operational Research 27, no. 5: 2534-2558.

Journal article
Published: 01 September 2019 in Computers & Industrial Engineering
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ACS Style

Taher Javadi; Nima Alizadeh-Basban; Sobhan Asian; Ashkan Hafezalkotob. Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations. Computers & Industrial Engineering 2019, 135, 655 -674.

AMA Style

Taher Javadi, Nima Alizadeh-Basban, Sobhan Asian, Ashkan Hafezalkotob. Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations. Computers & Industrial Engineering. 2019; 135 ():655-674.

Chicago/Turabian Style

Taher Javadi; Nima Alizadeh-Basban; Sobhan Asian; Ashkan Hafezalkotob. 2019. "Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations." Computers & Industrial Engineering 135, no. : 655-674.

Journal article
Published: 25 June 2019 in International Journal of Production Economics
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Increasing operational and logistical costs, lower yields, and market barriers adversely impact the competitiveness of organic farmers in developing countries. While agricultural cooperatives have recently gained significant popularity in organic food supply chains (OFSCs), there remains a considerable degree of skepticism regarding their contributions toward sustainable development. The current study investigates the role of the sharing economy (SE) in enabling organic smallholders to overcome their specific set of challenges by sharing resources and aggregating peer-to-peer activities using an SE-based cooperative platform. Using a cooperative game theory (CGT) modelling approach, we jointly address the production-inventory planning and pricing problems of multiple competing OFSCs—in the presence of a conventional food producer—in two scenarios: the non-cooperative (benchmark) and the SE-based cooperative. We present a novel solution algorithm to solve the formulated mathematical models and to characterize the behavior of key decision makers. After computing the coalitional synergy achieved with the SE-based mechanism, we implement different CGT models to fairly distribute the generated profit among OFSC coalition members. The results reveal that, when designed and implemented appropriately, the proposed SE-based mechanism is capable of concurrently delivering greater financial gains with higher sustainable development benefits due to its underlying peer-to-peer sharing features.

ACS Style

Sobhan Asian; Ashkan Hafezalkotob; Jubin Jacob John. Sharing economy in organic food supply chains: A pathway to sustainable development. International Journal of Production Economics 2019, 218, 322 -338.

AMA Style

Sobhan Asian, Ashkan Hafezalkotob, Jubin Jacob John. Sharing economy in organic food supply chains: A pathway to sustainable development. International Journal of Production Economics. 2019; 218 ():322-338.

Chicago/Turabian Style

Sobhan Asian; Ashkan Hafezalkotob; Jubin Jacob John. 2019. "Sharing economy in organic food supply chains: A pathway to sustainable development." International Journal of Production Economics 218, no. : 322-338.

Journal article
Published: 20 March 2019 in Transportation Research Part E: Logistics and Transportation Review
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This study analyzes high-dimensional data from Beijing International Airport and presents a practical flight delay prediction model. Following a multifactor approach, a novel deep belief network method is employed to mine the inner patterns of flight delays. Support vector regression is embedded in the developed model to perform a supervised fine-tuning within the presented predictive architecture. The proposed method has proven to be highly capable of handling the challenges of large datasets and capturing the key factors influencing delays. This ultimately enables connected airports to collectively alleviate delay propagation within their network through collaborative efforts (e.g., delay prediction synchronization).

ACS Style

Bin Yu; Zhen Guo; Sobhan Asian; Huaizhu Wang; Gang Chen. Flight delay prediction for commercial air transport: A deep learning approach. Transportation Research Part E: Logistics and Transportation Review 2019, 125, 203 -221.

AMA Style

Bin Yu, Zhen Guo, Sobhan Asian, Huaizhu Wang, Gang Chen. Flight delay prediction for commercial air transport: A deep learning approach. Transportation Research Part E: Logistics and Transportation Review. 2019; 125 ():203-221.

Chicago/Turabian Style

Bin Yu; Zhen Guo; Sobhan Asian; Huaizhu Wang; Gang Chen. 2019. "Flight delay prediction for commercial air transport: A deep learning approach." Transportation Research Part E: Logistics and Transportation Review 125, no. : 203-221.

Journal article
Published: 18 February 2019 in Benchmarking: An International Journal
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Purpose Developing strategic relationships with third-party logistics (3PL) providers has long been one of the key challenges in automotive supply chains. The purpose of this paper is to propose a new approach for evaluation and indexing 3PL providers using the Kano model. Design/methodology/approach The statistical population used in this research comprises managers from the Iranian automotive industry. The Kano evaluation approach is used to analyze the data collected and to classify the criteria used in selection of the preferred 3PL providers. Findings The results suggest that the proposed framework, based on the Kano classification, can be a powerful tool for the automotive industry in evaluating 3PL providers. Moreover, the analyses indicate that 3PL providers need to improve their service offering in aspects that are to be found in the Kano model’s requirements, namely, must-be, one-dimensional and attractive. Originality/value This study contributes to the supply chain management literature by being the first to classify selection indices of 3PL providers in the automotive industry using the Kano model.

ACS Style

Sobhan Asian; Javad Khazaei Pool; Ali Nazarpour; Reihaneh Alsadat Tabaeeian. On the importance of service performance and customer satisfaction in third-party logistics selection. Benchmarking: An International Journal 2019, 26, 1550 -1564.

AMA Style

Sobhan Asian, Javad Khazaei Pool, Ali Nazarpour, Reihaneh Alsadat Tabaeeian. On the importance of service performance and customer satisfaction in third-party logistics selection. Benchmarking: An International Journal. 2019; 26 (5):1550-1564.

Chicago/Turabian Style

Sobhan Asian; Javad Khazaei Pool; Ali Nazarpour; Reihaneh Alsadat Tabaeeian. 2019. "On the importance of service performance and customer satisfaction in third-party logistics selection." Benchmarking: An International Journal 26, no. 5: 1550-1564.

Journal article
Published: 11 February 2019 in International Journal of Physical Distribution & Logistics Management
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PurposeA perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. The purpose of this paper is to investigate the perception gap among service supply chain partners relating to the relative importance of key performance indicators (KPIs) and the association of this gap with service performance.Design/methodology/approachThis paper presents an integrative framework that combines statistical methods and data envelopment analysis for computing perception and performance gaps, and for identifying the association between the gaps. The study follows a middle-range theorizing research approach where general inferences are induced from instances, and a theory can be developed from the observation of empirical reality.FindingsAnalysis of data from a leading global insurance service supply chain suggests that perception gap exists and can be recognised as a factor associated with performance gaps. The results suggest that the perception gap not only affects performance but can also be tracked as a meta-KPI to improve performance throughout the service supply chain.Practical implicationsThe key implication of the presented research is that service companies can identify and resolve the differences in perceptions regarding the importance of the KPIs, by methodologically computing the gaps and tracking them as meta-KPIs.Originality/valueThe study extends the theoretical boundary of supply chain performance management by introducing the perception and performance gaps as novel meta-KPIs. These meta-KPIs can be computed through the integrative framework developed in the study.

ACS Style

Dawei Lu; Sobhan Asian; Gurdal Ertek; Mete Sevinc. Mind the perception gap. International Journal of Physical Distribution & Logistics Management 2019, 49, 33 -51.

AMA Style

Dawei Lu, Sobhan Asian, Gurdal Ertek, Mete Sevinc. Mind the perception gap. International Journal of Physical Distribution & Logistics Management. 2019; 49 (1):33-51.

Chicago/Turabian Style

Dawei Lu; Sobhan Asian; Gurdal Ertek; Mete Sevinc. 2019. "Mind the perception gap." International Journal of Physical Distribution & Logistics Management 49, no. 1: 33-51.

Conference paper
Published: 01 October 2018 in 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Supply chain disruption, which is commonly known as a low-probability, high-impact risk, has become the center of attention among both practitioners and academicians. As a sheer consequence, various aspects of supply chain disruption risk have been studied. Although using strategies, such as demand management, is useful to mitigate supply risk, the disrupted supplier's operations under recovery is an important issue that needs to be analyzed at an early stage. This paper proposes a method to reduce the peak order quantity, to alleviate the production capacity issue experienced by a supplier in the value chain, who is being recovered from disruption. For this purpose, we apply a trend filtering method over a celebrated inventory management strategy, based on robust optimization. We evaluate the proposed method through numerical experimentation. The results reveal that with a little increase in operational cost, there is an opportunity for significant reduction in peak order and order quantity variance, which corresponds to business risk for the supplier who is still recovering from disruption. We propose and discuss insightful directions for future research into supply chain contracts, enabling firms to optimally share and mitigate the disruption risks across their supply chain.

ACS Style

Debdeep Paul; Allan N Zhang; Sobhan Asian. On the Value of Demand Management for Mitigating Risk: Peak-Order Reduction Through Trend Filtering. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2018, 2260 -2265.

AMA Style

Debdeep Paul, Allan N Zhang, Sobhan Asian. On the Value of Demand Management for Mitigating Risk: Peak-Order Reduction Through Trend Filtering. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2018; ():2260-2265.

Chicago/Turabian Style

Debdeep Paul; Allan N Zhang; Sobhan Asian. 2018. "On the Value of Demand Management for Mitigating Risk: Peak-Order Reduction Through Trend Filtering." 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) , no. : 2260-2265.

Journal article
Published: 03 September 2018 in Annals of Operations Research
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Many retailers nowadays operate in an Internet-enabled dual-channel supply chain setting, referred to as “click and mortar”. In such a structure, products and services are delivered through both online B2C (business-to-consumer e-tail) and offline B2C (traditional brick and mortar retail) channels. In this paper, we develop and present a unified modeling approach that reflects a real-world dual-channel supply chain in the food retail industry. Motivated by the actual business operations of a case study, we incorporate the spatial locations of customers, as well as other logistics and operational costs, into the service provider’s pricing and the customers’ channel choice decisions. We develop two models, namely the benchmark and proposed models, and conduct extensive numerical experiments with parameter values centered on actual values. The results reveal that the ratio of online and offline profit to the total dual-channel profit vary significantly, depending on the locations of customers and the values of the logistics costs. In addition, our statistical and visual analysis suggest that by jointly optimizing the logistics and operational processes, the service provider can achieve a considerably high profit through both channels, without necessarily expanding the size of its geographical service areas.

ACS Style

Chen Wei; Sobhan Asian; Gurdal Ertek; Zhi-Hua Hu. Location-based pricing and channel selection in a supply chain: a case study from the food retail industry. Annals of Operations Research 2018, 291, 959 -984.

AMA Style

Chen Wei, Sobhan Asian, Gurdal Ertek, Zhi-Hua Hu. Location-based pricing and channel selection in a supply chain: a case study from the food retail industry. Annals of Operations Research. 2018; 291 (1-2):959-984.

Chicago/Turabian Style

Chen Wei; Sobhan Asian; Gurdal Ertek; Zhi-Hua Hu. 2018. "Location-based pricing and channel selection in a supply chain: a case study from the food retail industry." Annals of Operations Research 291, no. 1-2: 959-984.

Preprint
Published: 25 March 2018 in SSRN Electronic Journal
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While the global production of wind energy is increasing, there exists a significant gap in the academic and practice literature regarding the analysis of wind turbine accidents. Our paper presents the results obtained from the analysis of 240 wind turbine accidents from around the world. The main focus of our paper is revealing the associations between several factors and deaths & injuries in wind turbine accidents. Specifically, the associations of death and injuries with the stage of the wind turbine’s life cycle (transportation, construction, operation, and maintenance) and the main cause factor categories (human, system/equipment, and nature) were investigated. To this end, we conducted a detailed investigation that integrates exploratory and statistical data analysis methods with data mining methods. The paper presents a multitude of insights regarding the accidents and discusses implications for wind turbine manufacturers, engineering and insurance companies, and government organizations.

ACS Style

Gürdal Ertek; Sobhan Asian; Sena Pakter; Soner Ulun. Wind Turbine Accidents: A Data Mining Study. SSRN Electronic Journal 2018, 1 .

AMA Style

Gürdal Ertek, Sobhan Asian, Sena Pakter, Soner Ulun. Wind Turbine Accidents: A Data Mining Study. SSRN Electronic Journal. 2018; ():1.

Chicago/Turabian Style

Gürdal Ertek; Sobhan Asian; Sena Pakter; Soner Ulun. 2018. "Wind Turbine Accidents: A Data Mining Study." SSRN Electronic Journal , no. : 1.

Journal article
Published: 12 February 2018 in Journal of Modelling in Management
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This study aims at providing a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making method. Data for determining the importance of evaluation criteria and ranking of brands is gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The Fuzzy Analytic Network Process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. The value of this paper is applying FANP decision‐making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques utilized in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

ACS Style

Javad Khazaei Pool; S. Mohammad Arabzad; Sobhan Asian; Milad Fahimi; Reza Verij Kazemi. Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry. Journal of Modelling in Management 2018, 13, 137 -155.

AMA Style

Javad Khazaei Pool, S. Mohammad Arabzad, Sobhan Asian, Milad Fahimi, Reza Verij Kazemi. Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry. Journal of Modelling in Management. 2018; 13 (1):137-155.

Chicago/Turabian Style

Javad Khazaei Pool; S. Mohammad Arabzad; Sobhan Asian; Milad Fahimi; Reza Verij Kazemi. 2018. "Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry." Journal of Modelling in Management 13, no. 1: 137-155.

Journal article
Published: 01 January 2018 in International Journal of Business Forecasting and Marketing Intelligence
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International publishers of academic, scientific and professional journals since 1979.

ACS Style

Hamze Kazemi Mahyari; Ahmad Abareshi; Sobhan Asian; Javad Khazaei Pool. An examination of the interplay between country-of-origin, brand equity, brand preference and purchase intention toward global fashion brands. International Journal of Business Forecasting and Marketing Intelligence 2018, 4, 43 .

AMA Style

Hamze Kazemi Mahyari, Ahmad Abareshi, Sobhan Asian, Javad Khazaei Pool. An examination of the interplay between country-of-origin, brand equity, brand preference and purchase intention toward global fashion brands. International Journal of Business Forecasting and Marketing Intelligence. 2018; 4 (1):43.

Chicago/Turabian Style

Hamze Kazemi Mahyari; Ahmad Abareshi; Sobhan Asian; Javad Khazaei Pool. 2018. "An examination of the interplay between country-of-origin, brand equity, brand preference and purchase intention toward global fashion brands." International Journal of Business Forecasting and Marketing Intelligence 4, no. 1: 43.