Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food

Govindan, Kannan; Jafarian, Ahmad; Khodaverdi, Roohollah; Devika, K.

doi:10.1016/j.ijpe.2013.12.028

Cited by 510 publications

(299 citation statements)

References 129 publications

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“…And Fazel Zarandi et al (2013) considered time window, fuzzy demand, and fuzzy travel times at the same time. Moreover these papers, Govindan et al (2014) proposed LRP in a sustainable network. Sustainable networks have a growing trend in supply chain problems.…”

Section: Literature Reviewmentioning

confidence: 99%

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A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

2017

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Nowadays, organizations have to compete with different competitors in regional, national and international levels, so they have to improve their competition capabilities to survive against competitors. Undertaking activities on a global scale requires a proper distribution system which could take advantages of different transportation modes. Accordingly, the present paper addresses a location-routing problem on multimodal transportation network. The introduced problem follows four objectives simultaneously which form main contribution of the paper; determining multimodal routes between supplier and distribution centers, locating mode changing facilities, locating distribution centers, and determining product delivery tours from the distribution centers to retailers. An integer linear programming is presented for the problem, and a genetic algorithm with a new chromosome structure proposed to solve the problem. Proposed chromosome structure consists of two different parts for multimodal transportation and location-routing parts of the model. Based on published data in the literature, two numerical cases with different sizes generated and solved. Also, different cost scenarios designed to better analyze model and algorithm performance. Results show that algorithm can effectively solve large-size problems within a reasonable time which GAMS software failed to reach an optimal solution even within much longer times.

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Section: Literature Reviewmentioning

confidence: 99%

“…LRP had growing trends especially in recent years. Govindan et al (Govindan et al 2014) used LRP in perishable products distribution system design. RiquelmeRodríguez et al (2016) present and compare two methods for locating water depots along the road network and used arc routing in their problem.…”

Section: Introductionmentioning

confidence: 99%

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

2017

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“…Among non-deterministic models fuzzy set theory is most frequently applied to take uncertainty into account. Fuzzy set theory is used to take et al (2015), Gao and You (2015), Garcia and You (2015b), Garg et al (2015), Ghayebloo et al (2015), Kostin et al (2015), Mota et al (2015), Nagurney (2015), SantibanezAguilar et al (2015), Shimizu et al (2015), Tognetti et al (2015), Yu et al (2015), Yue et al (2015), Devika et al (2014), Govindan et al (2014a) 59 (38) 110 (19) 19 (8) 188 (65) a Publication with non-deterministic parameter(s)…”

Section: Model Characteristicsmentioning

confidence: 99%

“…Perishability and degrading product quality, however, is taken into account in only five publications associated with food products. Soysal et al (2014) and Govindan et al (2014a) take perishability into account by allowing a maximum number of consecutive time periods that a food product can be stored. You et al (2012) take into account a given degradation rate during storage, i.e.…”

Section: Model Characteristicsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

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Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

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“…Berk et al [19] 2008 Numerical 10 Kouki et al [20] 2013 Simulation and exact solution 11 Rossi et al [21] 2010 Constraint Programming 12 Rau et al [22] 2003 The economic production 13 Govindan et al [23] 2014 Meta-heuristic algorithm…”

mentioning

confidence: 99%

An Inventory Model with Quantity Discount Offer Policy for Perishable Goods in the Two-Level Supply Chain

Khorasani¹,

Almasifard²

2017

IJET

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Abstract-The Literature highlights the existing challenges in the supply chain management of perishable goods including the reduction of product's value over time. Reduction in quality of products leads decrease in price of products. Consequently, this circumstance results in inefficient supply chain management. One possible solution for this problem is setting a supply change management strategy with proper discount policy in order to increase the total profit. Thus, in this paper, the two-level supply chain of perishable goods, was modeled by taking into account a percent discount. The result reveal that the percentage discount equal to 6% is the optimal value in order to achieve win-win agreement between suppliers and retailers.Keyword-Supply chain, perishable items, Discount policy, Profit I. Introduction and Literature Review Nowadays, the management of the supply chain is one of the most important fields in the business environment. Every supply chain system includes costly factors such as information, product flows, and consumption-saving decision [1], [2]. Thus, proper management of these flows will be a key to success in the supply chain. In other words, the effective management of supply chain should include efficient system design [3], and flow of goods, information and financial resources in order to maximize the profitability of the entire supply chain [4]. In fact, one of the assumptions considered in old inventory models was that all items should maintain the physical characteristics when they are stored in the warehouse [5]. Nonetheless, mass storage of perishable goods in the warehouse, especially, once they begin to lose their quality results in continuous loss or performance deterioration, corrosion damage, waste and penalties for suppliers [6]. By considering these facts, controlling and maintenance of warehouse with perishable goods is a challenging problem for decision-makers. On the other hand, the supply chain of perishable products such as food or pharmaceutical is very important because the diversity of customers in this type of supply chain is more than other systems [7]. For instance, lack of inefficient pharmaceutical supply chain results in remarkable waste of expired medication [8]. Therefore, delivering healthy goods, will increase competitiveness. A summary of conducted studies in recent years in relation to the supply chain management of perishable items is given in Table 1. Identification of characteristics related to destruction and corruptibility emerged as an interesting topic for the scholars since Pahl and his colleagues presented a model of the blood supply chain in warehouse [9]. Since then, researchers have been inspired to create and develop models for warehousing problems of perishable products in different demand levels, not only based on the items' life cycle but also with considering the type of demand which is the driving force of the entire storage system. One of the most comprehensive studies in terms of the production planning of perishable goods was conducted ...

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Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food

Cited by 510 publications

References 129 publications

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

Multi-criteria decision making approaches for green supply chains: a review

An Inventory Model with Quantity Discount Offer Policy for Perishable Goods in the Two-Level Supply Chain

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