Integrated optimization model for distribution network design: a case study of the clothing industry

Liu, Ming; Xu, Xifen; Zhang, Ding

doi:10.1111/itor.12628

Cited by 16 publications

(9 citation statements)

References 39 publications

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“…To date, the majority of contributions in the literature address RSC design problem in a single‐period (static) setting (see, e.g., Listeş, 2007; Salema et al., 2007; Fonseca et al., 2010; Chen et al., 2015; Jeihoonian et al., 2016, 2017; Yuchi et al., 2021; Liu et al., 2019). Addressing RSC design in a multiperiod setting, on the contrary, has been investigated in a few articles (such as Min and Ko, 2008; Salema et al., 2010; Alumur et al., 2012; Cardoso et al., 2013; Hassanzadeh Amin and Zhang, 2013; Zeballos et al., 2014).…”

Section: Introductionmentioning

confidence: 99%

Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm

Jeihoonian

Zanjani

Gendreau³

2020

Int Trans Operational Res

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Motivated by the recovery of modular‐structured products, this study addresses the flexible design of a reverse supply chain (RSC) over a planning horizon while incorporating the dynamic uncertain behavior of product returns. The stochastic parameter is modeled as a scenario tree and therefore the concerned problem is formulated as a multistage mixed‐integer stochastic program. To alleviate the computational complexity of the proposed model, it is decomposed into smaller scenario cluster submodels associated with a number of subtrees that share a certain number of predecessor nodes in the original scenario tree. The submodels are coordinated into an implementable solution via a Lagrangian‐progressive hedging‐based method that employs a viable Benders decomposition based algorithm for solving each scenario cluster submodel. Based on a realistic scale case, computational results indicate the superiority of the proposed flexible dynamic RSC design model compared to the existing models. Results also demonstrate the efficiency of the proposed solution approach.

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Section: Introductionmentioning

confidence: 99%

Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm

Jeihoonian

Zanjani

Gendreau³

2020

Int Trans Operational Res

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“…Most of the studies have dealt with determining the number, locations, capacities of different facilities, the decision concerning transportation, inventory, and so forth (Ambrosino and Grazia Scutella, 2005; Amiri, 2006; Ahmadi‐Javid and Hoseinpour, 2015; Liu et al., 2019). Some studies have applied mixed integer linear programming (Ambrosino and Grazia Scutella, 2005; Amiri, 2006) while others have utilized mixed integer non‐linear programming (Ahmadi‐Javid and Hoseinpour, 2015; Liu et al., 2019). In most of these studies, the goal is to minimize the total cost of the network for satisfying the customer's demand.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The concept of DND originated in the context of a commercial supply chain. Literature is replete with several studies on DND in commercial supply chains (Ambrosino and Grazia Scutella, 2005; Mangiaracina et al., 2015; Yildiz et al., 2016; Liu et al., 2019; Timperio et al., 2020). The performance of a distribution network is evaluated along two dimensions, cost and service (Chopra, 2003).…”

Section: Introductionmentioning

confidence: 99%

A performance evaluation framework of public health distribution network for essential medicines: lessons from the select Indian states

Kumar

Das

2021

Int Trans Operational Res

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The present work has been carried out to develop a performance evaluation framework of distribution network design in public health with specific reference to essential medicines based on six different types of public health distribution networks (PHDNs) prevalent across six Indian states. We evaluated the performance of PHDNs on the criteria of cost and service and also on the sub-criteria of cost and service by following the analytic hierarchy process. We utilized the pairwise comparison method in determining the relative importance of criteria and sub-criteria by seeking responses from several experts and subsequently evaluated the PHDNs on all sub-criteria in a 7-point Likert scale by seeking views from the same experts. Finally, we developed the "cost-service matrix," in which cost and service have been depicted in the horizontal and vertical axes, respectively. We demonstrated the performance of six PHDNs in this matrix in terms of cost and service by plotting scores obtained by them on cost and service, respectively. The findings of the study provide rich insights to the policy planners of public health.

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“…They presented a multiobjective optimization model to minimize the total costs and maximize the goods quality level simultaneously. More recently, Liu et al [29] developed a nonlinear programming model that defines several attributes of the distribution networks while minimizing the annual operational costs. All the articles mentioned above assumed deterministic modeling approaches and all parameters have a certain amount known in advance.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

2021

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These days, clothing companies are becoming more and more developed around the world. Due to the rapid development of these companies, designing an efficient clothing supply chain network can be highly beneficial, especially with the remarkable increase in demand and uncertainties in both supply and demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for designing the supply chain of the clothing industry. The first objective function maximizes total profit and the second one minimizes downside risk. In the presented network, the initial demand and price are uncertain and are incorporated into the model through a set of scenarios. To solve the bi-objective model, weighted normalized goal programming is applied. Besides, a real case study for the clothing industry in Iran is proposed to validate the presented model and developed method. The obtained results showed the validity and efficiency of the current study. Also, sensitivity analyses are conducted to evaluate the effect of several important parameters, such as discount and advertisement, on the supply chain . The results indicate that considering the optimal amount for discount parameter can conceivably enhance total profit by about 20% compared to the time without this discount scheme. When we take the optimized parameter into account for advertisement, 12% is obtained for the total profit. Based on our findings, the more the expected profit value, the higher the total amount of total profit and risk. The results of this research also provide some interesting managerial insights for managers.

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Integrated optimization model for distribution network design: a case study of the clothing industry

Cited by 16 publications

References 39 publications

Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm

Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm

A performance evaluation framework of public health distribution network for essential medicines: lessons from the select Indian states

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

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