A production–delivery lot sizing policy with stochastic delivery time and in consideration of transportation cost

Shu, Ming‐Hung; Huang, Jui-Chan; Fu, Yen-Chen

doi:10.1016/j.apm.2014.10.066

Cited by 20 publications

(8 citation statements)

References 33 publications

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“…An example of the tactical-operational integrated problems is the Production Routing Problem (PRP, Absi et al [1]), where a lot-sizing problem is combined with a vehicle routing problem. Another example of an integrated problem where lot-sizing decision, as well as production and transportation decisions, are considered can be found in [18]. The reader interested in production routing problems is referred to the survey of Adulyasak et al [2].…”

Section: Literature Reviewmentioning

confidence: 99%

A three-phase matheuristic for the Packaging and Shipping Problem

Cattaruzza¹,

Brotcorne²,

Semet³

et al. 2018

Applied Mathematical Modelling

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E-commerce has been continuously growing in the last years to a primary retail market. Recently in France, the threshold of 1 billion of online transactions was overcome. Due to a high demand uctuation of e-commerce, the workforce sizing for the logistic chain is a challenging problem. Companies have to develop good strategies to have a sustainable workforce size while guaranteeing a high-level service. In this paper, we consider the management of workforce for a warehouse of an ecommerce company. Specically, we address issues as i) How the workforce at the warehouse can be determined; ii) What is the daily operational production planning; iii) How the demand peaks can be smoothed, and the production maintained ideally constant over the time horizon. To provide answers to the issues, we introduce the Packaging and Shipping Problem (PSP). The PSP looks for a solution approach that jointly determines the workforce over a multi-period horizon and daily operational plans while minimizing the total logistics cost. We considered two strategies that aim to enhance the exibility of the process and the eciency of resources use: reassignment and postponement. To tackle the Packaging and Shipping Problem we propose a model, and a three-phase matheuristic. This heuristic proves to be competitive with respect to the direct solution of the model with a commercial solver on real-life based instances.

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Section: Literature Reviewmentioning

confidence: 99%

A three-phase matheuristic for the Packaging and Shipping Problem

Cattaruzza¹,

Brotcorne²,

Semet³

et al. 2018

Applied Mathematical Modelling

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“…They concluded that the explicit incorporation of transportation cost in the integrated inventory model has great effect on the production decisions. Then, Shu et al [31] extended the production-delivery lot sizing model under the jointly exponentially distributed delivery time. Other related articles can be found in Kang and Kim [32], Hwang [33,34], and Lee and Fu [35].…”

mentioning

confidence: 99%

“…This new measure can promote the enterprise's production capacity by encouraging workers to work overtime. In this paper, we attempt to extend the model of Shu et al [31] by assuming that the manufacturer's production rate is smaller than the market demand rate. We take the factor of overtime work into consideration to increase the production rate per day.…”

mentioning

confidence: 99%

Integrated Production-Delivery Lot Sizing Model with Limited Production Capacity and Transportation Cost considering Overtime Work and Maintenance Time

Zhang

Sun

2018

Mathematical Problems in Engineering

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An extension of the integrated production-delivery lot sizing model with limited production capacity and transportation cost is investigated. We introduce the factor of overtime work into the model to improve the manufacturer’s production. In addition, when finishing a lot, the manufacturer has maintenance time to maintain and repair equipment for ensuring that the supply chain is operating continuously. By analyzing the integrated model, the solution procedure is provided to determine the optimal delivery and order policy. We conduct a numerical experiment and give sensitive analysis by varying some parameters to illustrate the problem and its solution procedure.

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“…Lee and Fu [35] proposed a producer-buyer supply chain model in which delivery or transportation cost is added and adjusted as a power function. Shu et al [36] observed an integrated-production-delivery lot size model with stochastic delivery time and transportation cost, which is the function of delivery quantity. Krishnakumari [37] observed a multi-period inventory cum transportation problem (MPICTP) with single-product, single-stage for multiple suppliers and multiple destinations.…”

Section: Introductionmentioning

confidence: 99%

A Stackelberg Game Approach in an Integrated Inventory Model with Carbon-Emission and Setup Cost Reduction

et al. 2016

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This paper formulates an integrated inventory model that allows Stackelberg game policy for optimizing joint total cost of a vendor and buyer system. After receiving the lot, the buyer commences an inspection process to determine the defective items. All defective items the buyer sends to vendor during the receiving of the next lot. Due to increasing number of shipments fixed and variable transportation, as well as carbon emissions, are considered, which makes the model sustainable integrated model forever. To reduce the setup cost for the vendor, a discrete setup reduction is considered for maximization more profit. The players of the integrated model are with unequal power (as leader and follower) and the Stackelberg game strategy is utilized to solve this model for obtaining global optimum solution over the finite planning horizon. An illustrative numerical example is given to understand this model clearly.

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A production–delivery lot sizing policy with stochastic delivery time and in consideration of transportation cost

Cited by 20 publications

References 33 publications

A three-phase matheuristic for the Packaging and Shipping Problem

A three-phase matheuristic for the Packaging and Shipping Problem

Integrated Production-Delivery Lot Sizing Model with Limited Production Capacity and Transportation Cost considering Overtime Work and Maintenance Time

A Stackelberg Game Approach in an Integrated Inventory Model with Carbon-Emission and Setup Cost Reduction

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