A two-stage stochastic mixed-integer program for reliable supply chain network design under uncertain disruptions and demand

Tolooie, Ali; Maity, Meghna; Sinha, Ashesh Kumar

doi:10.1016/j.cie.2020.106722

Cited by 63 publications

(27 citation statements)

References 42 publications

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“…As a preparedness plan, various supply chain and logistics network design-oriented strategies such as network redesign ( Fattahi et al, 2020 , Fattahi and Govindan, 2020 , Tolooie et al, 2020 ), optimal network design ( Yan and Ji, 2020 ), supply chain flexibility ( Shekarian et al, 2020 ), and careful selection of facility locations ( Sundarakani et al, 2020 ) are suggested. A recent systematic review article examines various logistics and supply chain network types, such as hub-and-spoke, cross-docking, pick-up and delivery, and hybrid network design and evaluates their effectiveness for disruption management ( Esmizadeh and Parast, 2020 ).…”

Section: Research On Supply Chain Disruptionsmentioning

confidence: 99%

COVID-19 pandemic related supply chain studies: A systematic review

Chowdhury

Paul

Kaisar

et al. 2021

Transportation Research Part E: Logistics and Transportation Re

691

548

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The global spread of the novel coronavirus, also known as the COVID-19 pandemic, has had a devastating impact on supply chains. Since the pandemic started, scholars have been researching and publishing their studies on the various supply-chain-related issues raised by COVID-19. However, while the number of articles on this subject has been steadily increasing, due to the absence of any systematic literature reviews, it remains unclear what aspects of this disruption have already been studied and what aspects still need to be investigated. The present study systematically reviews existing research on the COVID-19 pandemic in supply chain disciplines. Through a rigorous and systematic search, we identify 74 relevant articles published on or before 28 September 2020. The synthesis of the findings reveals that four broad themes recur in the published work: namely, impacts of the COVID-19 pandemic, resilience strategies for managing impacts and recovery, the role of technology in implementing resilience strategies, and supply chain sustainability in the light of the pandemic. Alongside the synthesis of the findings, this study describes the methodologies, context, and theories used in each piece of research. Our analysis reveals that there is a lack of empirically designed and theoretically grounded studies in this area; hence, the generalizability of the findings, thus far, is limited. Moreover, the analysis reveals that most studies have focused on supply chains for high-demand essential goods and healthcare products, while low-demand items and SMEs have been largely ignored. We also review the literature on prior epidemic outbreaks and other disruptions in supply chain disciplines. By considering the findings of these articles alongside research on the COVID-19 pandemic, this study offers research questions and directions for further investigation. These directions can guide scholars in designing and conducting impactful research in the field.

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Section: Research On Supply Chain Disruptionsmentioning

confidence: 99%

COVID-19 pandemic related supply chain studies: A systematic review

Chowdhury

Paul

Kaisar

et al. 2021

Transportation Research Part E: Logistics and Transportation Re

691

548

View full text Add to dashboard Cite

show abstract

“…Similarly, Mohammadi utilizes chance-constrained programming to tackle the problem of supplier selection with uncertain demands in a hazardous material SC network [21]. Furthermore, it was minimized the total cost in a reliable SC considering the demand uncertainty and facility disruptions [3]. The problem is formulated as a stochastic mixed-integer model and solved via the L-shaped decomposition method.…”

Section: Probability Of Disruption In Clscmentioning

confidence: 99%

“…The rationale of handling uncertainties in a CLSCN revolves around the optimization of one or more of the sustainability dimensions; economic, social, and environmental aspects [2]. In a CLSCN, uncertain scenarios can be typically classified into two main categories [3]: a) Uncertainties are linked to strategic decision-making, e.g., finding the optimum production capacity, placement of facilities, customer allocation, supplier selection, node-to-node links in the network, segmentation policies in the backward flow, and transportation among different levels of the SC. b) Uncertainties are taken into account while calculating the reliability or robustness of the network to handle the imprecision or inexactness of information (e.g., due to dynamism and fluctuation in demands, capacities, and timings), potential vulnerability and risks (e.g., due to globalization or leanness), and disruptions (e.g., due to random incidents, natural disasters, political tensions, epidemic outbreaks, and terrorist attacks).…”

Section: Introductionmentioning

confidence: 99%

Facility Disruptions in a Closed-loop Supply Chain Featuring Warranty Policy and Quality-based Segmentation of Returns

Mansouri

Sahraeian

2021

Scientia Iranica

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This paper focuses on a closed-loop supply chain that deals with disruptions in the distribution centers, and optimizes the network in two dimensions of sustainability: economic and environmental. Avenues for cost minimization are designed for the customer by adding the warranty periods, the reworking options, and the incentives for returning the used items. Nondominated solutions via the Reservation Level-driven Tchebycheff procedure are found by appropriate choice of facility establishment and suitable allocation links considering the disruption in the distribution centers. The concept of primary and supporting allocations are introduced to address the disruptions and ensure an uninterrupted flow of service. Environmentally, the model adopts a zero-waste strategy by embedding various return-segmentation policies and a secondary chain. The backward flow depends on the customers' choice of reworking, the validity of the warranty contract, and the quality of the returns. The test results indicate that the manufacturing and distribution centers prefer returns with medium-range quality, while due to the incentives offered for the recyclable items, the customers benefit the most from returning the items with the lowest quality. The tests on probability of disruptions indicate that establishing a minimum number of the manufacturing and/or distribution sites without disruption leads to better overall performance.

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“…The authors also conducted numerical experiments to demonstrate the trade-offs of quality level and materials cost. Other works (Brahmi et al, 2020;Nogueira et al, 2020;Tolooie et al, 2020;Astuty et al, 2021;Ekin and Aktekin, 2021;Frank et al, 2021;Martins et al, 2021;Ongcunaruk et al, 2021;Pando et al, 2021) considered various features of adjustable manufacturing rates and discrete shipping plans to optimize fabrication-inventory systems and supply-chain operations. This study proposes a two-stage delayed differentiation model for a multiproduct manufacturer-retailer coordinated supply chain featuring the adjustable-rate for making common parts and a multi-shipment policy for transporting finished goods.…”

Section: Introductionmentioning

confidence: 99%

Multiproduct manufacturer-retailer coordinated supply chain with adjustable rate for common parts, delayed differentiation, and multi-shipment

Lin¹,

Chiu²,

Wu³

et al. 2022

10.5267/j.uscm

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Operating in today’s turbulent and competitive world marketplaces, manufacturers must find the best production scheme and delivery policy to meet timely client’s multiproduct requirements and minimize the total manufacturing-shipment expenses. This study proposes a two-stage delayed differentiation model for a multiproduct manufacturer-retailer coordinated supply chain featuring the adjustable-rate for making common parts and a multi-shipment policy for transporting finished goods. The aim is to help present-day manufacturers achieve their operational goals mentioned above. The mathematical techniques help us build a specific model to explicitly represent the problem and derive its overall operating expense. Then, the convexity of the total expense is verified by Hessian matrix equations. The differential calculus helps derive the cost-minimized fabrication-shipment decision. This study offers an example to demonstrate the applicability and capabilities of our proposed model numerically. The following crucial information has been made available to the managers to facilitate their operating decision makings: (1) the problem’s best fabrication-shipment policy; (2) the collective influence of various common part’s completion rates and values on the problem’s total expenses and optimal fabrication-shipment policy; (3) the impact of various adjustable-rates in stage one on utilization and stage one’s uptime; (4) the details of cost contributors to the problem; and (5) the collective impacts of critical features on the problem’s performance.

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A two-stage stochastic mixed-integer program for reliable supply chain network design under uncertain disruptions and demand

Cited by 63 publications

References 42 publications

COVID-19 pandemic related supply chain studies: A systematic review

COVID-19 pandemic related supply chain studies: A systematic review

Facility Disruptions in a Closed-loop Supply Chain Featuring Warranty Policy and Quality-based Segmentation of Returns

Multiproduct manufacturer-retailer coordinated supply chain with adjustable rate for common parts, delayed differentiation, and multi-shipment

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