Coordinated allocation production routing problem for mobile supply chains with shared factories

Shahmoradi-Moghadam, Hani; Schönberger, Jörn

doi:10.1016/j.compchemeng.2021.107501

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…When solving two-stage stochastic problems, the Pareto-optimal cut proposed by Magnanti and Wong 61 can be used to improve the cuts generated by the dual Benders subproblem. For a twostage stochastic program (24), the dual subproblem for the classical Benders method it is presented in problem (25):…”

Section: Magnanti-wong Cut Enhancementmentioning

confidence: 99%

“…Inspired by the disruptive modular production mode of wet electronic chemicals for semiconductor manufacturing industry as well as the relevant circular economy considerations, 25 this work builds upon our previous work 26 and extend the closed-loop supply chain to a modular closed-loop supply chain (MCLSCN) with modularized distribution and collection facilities. To the best of our knowledge, few research articles have covered the multistage SP of MCLSCNs.…”

Section: Introductionmentioning

confidence: 99%

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Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Zhang

et al. 2023

AIChE Journal

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Traditional supply chains usually follow fixed facility designs which coincide with the strategic nature of supply chain management (SCM). However, as the global market turns more volatile, the concept of mobile modularization has been adopted by increasingly more industrial practitioners. In mobile modular networks, modular units can be installed or removed at a particular site to expand or reduce the capacity of a facility, or relocated to other sites to tackle market volatility. In this work, we formulate a mixed‐integer linear programming (MILP) model for the closed‐loop supply chain network planning with modular distribution and collection facilities. To further deal with uncertain customer demands and recovery rates, we extend our model to a multistage stochastic programming model and efficiently solve it using a tailored stochastic dynamic dual integer programming (SDDiP) with Magnanti‐Wong enhanced cuts. Computational experiments show that the added Magnanti‐Wong cuts in the proposed algorithm can effectively close the gap between upper and lower bounds, and the benefit of mobile modules is evident when the temporal and spatial variability of customer demand is high.

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Section: Magnanti-wong Cut Enhancementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Zhang

et al. 2023

AIChE Journal

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“…Location planning: The first decision, on the location, refers to finding the best position for the facilities in order to optimize one or several objective functions, such as minimization of transportation costs, assignment cost, and/or costs associated with the opening or closing of facilities [55]. Since the facilities can be moved to another location at short notice, the relocation route/sequence must also be determined [56].…”

Section: Integrated Planningmentioning

confidence: 99%

Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems

et al. 2022

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The miniaturization and modularization of production capacity brings with it not only greater agility and efficiency, but also increased flexibility in the form of mobility. This flexibility allows production capacity to be moved when and where it is most needed, generating new business opportunities, e.g., allowing modular units to be rented, leased, or shared. This flexibility, however, requires information and control systems that ensure a correct and secure flow of information between different stakeholders of the supply chain. Based on this, the present article characterizes the concept of software-defined mobile supply chains, presenting its main requirements, opportunities, and limitations. In addition, we present two case studies in which the proposed concept is evaluated in order to demonstrate its applicability. Here, due to the new optimization problems that arise when considering mobile facilities, special interest is given to the planning and control of the required operations, as well as the difficulties associated with the exchange of physical and intellectual assets between different stakeholders.

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“…the starting location) is listed as the last site, and other sites are sorted by their distances from that origin point. In the matrix, the furthest site is listed as first, followed by less distant sites to the origin point, up to the least distant site in the matrix [40,41].…”

Section: Design Of Modelsmentioning

confidence: 99%

Modelling Distribution Routes in City Logistics by Applying Operations Research Methods

Stopka¹

2022

PROMTT

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The article focuses on the up-to-date subject from the practical as well as scientific point of view. It specifically discusses a proposal of an approach concerning transport or distribution problems in the range of city logistics and investigates possibilities to use opted operations research methods in this particular area. Specific suggestions lie first and foremost in using selected tools of operations research (i.e. a set of methods concerning vehicle routing problem) to model multiple variants of distribution paths from a determined hub to multiple spokes in order to minimise the overall travelled distance in an urban area. As far as the very research goes, to define distribution paths to supply multiple logistics objects in the range of city logistics, ensuing methods are step by step used: Clarke-Wright algorithm, Mayer algorithm and the nearest neighbour algorithm. The article consists of a conceptual section, describing the relevant theory as well as data and methods used, the practical part and the section encompassing an assessment of the key findings, along with the discussion. A suitable combination of adequate operations research methods and their application to city logistics issues is where an innovative solution of this research lies.

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Coordinated allocation production routing problem for mobile supply chains with shared factories

Cited by 9 publications

References 45 publications

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems

Modelling Distribution Routes in City Logistics by Applying Operations Research Methods

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