A Dynamic Distribution Model with Warehouse and Customer Replenishment Requirements

Chandra, Pankaj

doi:10.1057/jors.1993.117

Cited by 90 publications

(14 citation statements)

References 15 publications

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“…The PRP has been widely studied in various forms by practitioners and researchers over the past few decades since the seminar papers presented by Chandra [1] and Chandra and Fisher [2]. Readers who are not familiar with the development of PRP can refer to the comprehensive reviews by Amorim et al [5], Díaz-Madroñero et al [6] and Adulyasak et al [7].…”

Section: Production Routing Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Food insecurity has been a continuing challenge in Haiti [1]. The situation was exacerbated by a 2010 earthquake, longstanding drought, floods, landslides and the devastating 2016 category 4 Hurricane Matthew that severely affected two million people in Haiti [1]. Other drivers of food insecurity are poor performance of the agricultural sector that leads to heavy dependence on food imports [2].…”

Section: Introductionmentioning

confidence: 99%

“…The PRP is integrated with two classic problems: the lot-sizing problem (LSP) and vehicle routing problem (VRP). The benefits of studying PRP were first discussed by Chandra [1] and Chandra and Fisher [2], who indicated that utilizing PRP can save approximately 3-20% of the total cost, compared with solving by a single problem (LSP and VRP) separately. Moreover, due to the complexity of PRP, few studies have focused on exact algorithms or lower bound calculation methods.…”

Section: Introductionmentioning

confidence: 99%

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Production, Replenishment and Inventory Policies for Perishable Products in a Two-Echelon Distribution Network

et al. 2020

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The research on production, delivery and inventory strategies for perishable products in a two-echelon distribution network integrates the production routing problem (PRP) and two-echelon vehicle routing problem (2E-VRP), which mainly considers the inventory and delivery sustainability of perishable products. The problem investigated in this study is an extension of the basic problems, and it simultaneously optimizes production, replenishment, inventory, and routing decisions for perishable products that will deteriorate over the planning horizon. Additionally, the lead time has been considered in the replenishment echelon, and the unit inventory cost varying with the inventory time is considered in the inventory management. Based on a newly designed model, different inventory strategies are discussed in this study: old first (OF) and fresh first (FF) strategies both for the first echelon and second echelon, for which four propositions to model them are proposed. Then, four valid inequalities, including logical inequalities, a ( ℓ , S , W W ) inequality, and a replenishment-related inequality, are proposed to construct a branch-and-cut algorithm. The computational experiments are conducted to test the efficiency of valid inequalities, branch-and-cut, and policies. Experimental results show that the valid inequalities can effectively increase the relaxed lower bound by 4.80% on average and the branch-and-cut algorithm can significantly reduce the computational time by 58.18% on average when compared to CPLEX in small and medium-sized cases. For the selection of strategy combinations, OF–FF is suggested to be used in priority.

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Section: Production Routing Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Production, Replenishment and Inventory Policies for Perishable Products in a Two-Echelon Distribution Network

et al. 2020

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“…To promote the integrated efficiency of supply chain and the sustainable utilization of resources, a number of research achievements have been made by studies on the integration decision of the supply chain in the years since Chandra [15] first discussed the benefits of integrating production and distribution decisions in 1993. Bertazzi's [12] research showed that with the level of integration becoming higher, and the integration competitive advantages becoming more and more powerful, the overall cost of the collaboration-supply chain, including production cost, inventory cost, and transportation cost, is decreasing.…”

mentioning

confidence: 99%

The inventory replenishment policy in an uncertain production-inventory-routing system

Wang

Yang

2023

JIMO

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<p style='text-indent:20px;'>This study introduces an uncertain programming model for the integrated production routing problem (PRP) in an uncertain production-inventory-routing system. Based on uncertainty theory, an uncertain programming model is proposed firstly and then transformed into a deterministic and equivalent model. The study further probes into different types of replenishment policies under the condition of uncertain demands, mainly the uncertain maximum level (UML) policy and the uncertain order-up to level (UOU) policy. Some inequalities are put forward to define the UML policy and the UOU policy under the uncertain environments, and the influences brought by uncertain demands are highlighted. The overall costs with optimal solution of the uncertain decision model grow with the increase of the confidence levels. And they are simultaneously affected by the variances of uncertain variables but rely on the value of confidence levels. Results show that when the confidence levels are not less than 0.5, the cost difference between the two policies begins to narrow along with the increase of the confidence levels and the variances of uncertain variables, eventually being trending to zero. When there are higher confidence levels and relatively large uncertainty in realistic applications, in which the solution scale is escalated, being conducive to its efficiency advantage, the comprehensive advantages of the UOU policy is obvious.</p>

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Network optimization in supply chain management and financial engineering: An annotated bibliography

Geunes

Pardalos

2003

Networks

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During the past decade, two relatively new application areas have attracted the attention of a growing number of researchers who specialize in applying optimization techniques to large-scale real-world problems. The now well-known areas of supply chain management and financial engineering have provided extremely rich contexts for the definition of new large-scale optimization problems, the solutions of which can provide substantial value to organizations. This paper discusses the extent to which network optimization approaches have contributed to the advancement of supply chain management and financial engineering research through an examination of past literature involving network optimization applications within these still emerging fields

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A Dynamic Distribution Model with Warehouse and Customer Replenishment Requirements

Cited by 90 publications

References 15 publications

Production, Replenishment and Inventory Policies for Perishable Products in a Two-Echelon Distribution Network

Production, Replenishment and Inventory Policies for Perishable Products in a Two-Echelon Distribution Network

The inventory replenishment policy in an uncertain production-inventory-routing system

Network optimization in supply chain management and financial engineering: An annotated bibliography

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