A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system

Ahmadzadeh, Elham; Vahdani, Behnam

doi:10.1016/j.compchemeng.2017.02.027

Cited by 51 publications

(18 citation statements)

References 42 publications

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“…All the colonies of the initial population are assigned to the imperialists based on their power. Also, and empire includes one imperialist and its colonies (Ahmadzadeh and Vahdani, 2017). The colonies move toward their imperialist which means the assimilation policy that improves some features of the colonies.…”

Section: Imperialist Competitive Algorithmmentioning

confidence: 99%

A truck scheduling problem at a cross-docking facility with mixed service mode dock doors

Vahdani

Shahramfard

2019

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Purpose The purpose of this study is truck scheduling and assignment of trucks to the doors simultaneously since these issues were considered mainly separately in the previous research. Also, the door service time and its impact on truck scheduling were not taken into account, so this research endeavors to cover this gap. Design/methodology/approach In this research, a novel model has been presented for simultaneous truck scheduling and assignment problem with time window constraints for the arrival and departure of trucks, mixed service mode dock doors and truck queuing. To resolve the developed model, two meta-heuristic algorithms, namely, genetic and imperialist competitive algorithms, are presented. Findings The computational results indicate that the proposed framework leads to increased total costs, although it has a more accurate planning; moreover, these indicate that the proposed algorithms have different performances based on the criteria considered for the comparison. Research limitations/implications There are some limitations in this research, which can be considered by other researchers to expand the current study, among them the specifications of uncertainty about arrival times of inbound and outbound trucks, number of merchandises which has been loaded on inbound trucks are the main factors. If so, by considering this situation, a realistic scheme about planning of cross docking system would be acquired. Moreover, the capacity of temporary storage has been considered unlimited, so relaxing this limitation can prepare a real and suitable situation for further study. Examining the capacity in the front of each type of doors of cross-dock and executive servers are the other aspects, which could be expanded in the future. Originality/value In this study, a mathematical programing model proposed for truck scheduling to minimize total costs including holding, truck tardiness and waiting time for queue of trucks caused by the interference of each carrier’s movement. At the operational levels, this research considered a multi-door cross-docking problem with mixed service mode dock doors and time window constraints for arrival and departure time of trucks. Moreover, M/G/C queue system was developed for truck arrival and servicing of carriers to trucks.

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Section: Imperialist Competitive Algorithmmentioning

confidence: 99%

A truck scheduling problem at a cross-docking facility with mixed service mode dock doors

Vahdani

Shahramfard

2019

Self Cite

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“…Third, in addition to the key decision variables referred to above, we incorporate several important parameters into our model in the form of logically derived values. These parameters were drawn from the literature, such as the number of facilities to be set up, the costs associated with setting up or operating those facilities, and the capacity of such facilities (Ahmadzadeh and Vahdani, 2017;Kaya and Urek, 2016;Dai and Zheng, 2015;Amin and Zhang, 2013). In so doing, we aim to address the trade-off between the veracity of the model and computational challenges.…”

Section: Fig 1 the Proposed Problem Structurementioning

confidence: 99%

“…A number of recent studies (e.g. Ahmadzadeh and Vahdani, 2017;Kaya and Urek, 2016;Asl-Najafi et al, 2015;Govindan et al, 2015) have highlighted the importance of integrating multiple decisions and considering multiple decision variables at all three levels in order to develop more effective supply network structures, as well as to achieve optimal network-level performance. These studies have also noted that such decisions have traditionally been considered separately, resulting in sub-optimal supply network-level performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Dai and Zheng, 2015;Soleimani and Kannan, 2015;Asl-Najafi et al, 2015;Jindal and Sangwan, 2014;Nickel et al, 2012). However, studies that have considered more than two decision variables representing all three levels seem to be quite limited (Kaya and Ureck, 2016;Ahmadzadeh and Vahdani, 2017;Zhalechian et al, 2016). These studies will be further examined later in this section.…”

Section: Literature Reviewmentioning

confidence: 99%

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Solving closed-loop supply chain problems using game theoretic particle swarm optimisation

Patne

Shukla

Kiridena

et al. 2018

International Journal of Production Research

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In this paper, we propose a closed-loop supply chain network configuration model and a solution methodology that aims to address several research gaps in the literature. The proposed solution methodology employs a novel metaheuristic algorithm, along with the popular gradient descent search method, to aid location-allocation and pricing-inventory decisions in a two-stage process. In the first stage, we use an improved version of the particle swarm optimisation (PSO) algorithm, which we call improved PSO (IPSO), to solve the locationallocation problem. The IPSO algorithm is developed by introducing mutation to avoid premature convergence and embedding an evolutionary game-based procedure known as replicator dynamics to increase the rate of convergence. The results obtained through the application of IPSO are used as input in the second stage to solve the inventory-pricing problem. In this stage, we use the gradient descent search method to determine the selling price of new products and the buy-back price of returned products, as well as inventory cycle times for both product types. Numerical evaluations undertaken using problem instances of different scales confirm that the proposed IPSO algorithm performs better than the comparable traditional PSO, simulated annealing and genetic algorithm methods.

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“…We refer to Fleischmann et al [1] and Guide Jr. et al [2] for complete reviews. Most of these research papers use game theory to model remanufacturing decisions [3][4][5][6], inventory control [7][8][9], and collection structures [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Marketing Strategy in a Closed-Loop Supply Chain with Loss-Averse Consumers

Liao

2018

Mathematical Problems in Engineering

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The importance of remanufacturing system has been extensively investigated in recent years. Taking into account the consumer valuation uncertainty and the demand uncertainty, this paper addresses the issue of closed-loop supply chain with remanufacturing by game theory. We consider two types of consumers in the market: loss-neutral consumers and loss-averse consumers. The lossneutral consumers are completely rational. The loss-averse consumers, on the other hand, are with losses being more painful than equal-sized gains being pleasant. When multichannel structure can be chosen, the manufacturer has three pricing strategies in direct market: (1) keeping the price high with a small discount, no customers choose the online store; (2) keeping the price high with a moderate discount, only the loss-neutral customers choose the online store; (3) keeping the price low with a big discount, all customers choose the online store. Consumers make up their decisive selections through comparing the price and channel attributes. We introduce utility function for analyzing the market demand and then identify the optimal pricing and channel strategy to maximize the manufacturer's profit. Finally, the rationality and validities of the proposed model are illustrated by numerical examples, and sensitivity analyses of the parameters are also presented.

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A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system

Cited by 51 publications

References 42 publications

A truck scheduling problem at a cross-docking facility with mixed service mode dock doors

A truck scheduling problem at a cross-docking facility with mixed service mode dock doors

Solving closed-loop supply chain problems using game theoretic particle swarm optimisation

A Marketing Strategy in a Closed-Loop Supply Chain with Loss-Averse Consumers

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