Integrated production and distribution scheduling with a perishable product

Devapriya, Priyantha; Ferrell, William G.; Geismar, H. Neil

doi:10.1016/j.ejor.2016.09.019

Cited by 145 publications

(70 citation statements)

References 17 publications

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“…The most relevant literature is that regarding perishable products harvest or distribution problems [4], vegetable harvest planning [5][6][7], the inventory and distribution of agricultural products [8,9], delivery fleet size and truck routes [10], and the spatial and temporal model of the agricultural supply chain [11]. Generally, these previous studies have offered various decision tools to reduce the distribution cost and time of perishable products from different viewpoints, while the literature has seldom addressed the integrated optimization of vegetable harvest and farm-to-door distribution to minimize postharvest quality deterioration within an online retailing context.…”

Section: Introductionmentioning

confidence: 99%

Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

Jiang

Bian

2019

Agronomy

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With the rise of vegetable online retailing in recent years, the fulfillment of vegetable online orders has been receiving more and more attention. This paper addresses an integrated optimization model for harvest and farm-to-door distribution scheduling for vegetable online retailing. Firstly, we capture the perishable property of vegetables, and model it as a quadratic postharvest quality deterioration function. Then, we incorporate the postharvest quality deterioration function into the integrated harvest and farm-to-door distribution scheduling and formulate it as a quadratic vehicle routing programming model with time windows. Next, we propose a genetic algorithm with adaptive operators (GAAO) to solve the model. Finally, we carry out numerical experiments to verify the performance of the proposed model and algorithm, and report the results of numerical experiments and sensitivity analyses.

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Section: Introductionmentioning

confidence: 99%

Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

Jiang

Bian

2019

Agronomy

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“…To the best of our knowledge, although some studies set the vehicle cost as their only objective [134,144,150,[174][175][176][177][178], the majority of the studies (54.3%) regard the vehicle cost as the part of fixed cost and aim to minimize the combination of the fixed cost with some variable costs, such as travelling cost [128,133,136,145,146,[179][180][181][182][183], penalty cost [184], inventory cost [163,[185][186][187], fuel cost [188], and emission [137].…”

Section: Vrpmentioning

confidence: 99%

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Fei

Shen

2017

Scientific Programming

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Over the past decades, optimization in operations management has grown ever more popular not only in the academic literature but also in practice. However, the problems have varied a lot, and few literature reviews have provided an overview of the models and algorithms that are applied to the optimization in operations management. In this paper, we first classify crucial optimization areas of operations management from the process point of view and then analyze the current status and trends of the studies in those areas. The purpose of this study is to give an overview of optimization modelling and resolution approaches, which are applied to operations management.

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“…Integrating production and outbound delivery scheduling is very critical and common in the supply chain of time-sensitive products [6,7]. For example, Buer et al [8] focus on the newspapers printing and distribution, and mail processing and distribution provided by Wang et al [9], and industrial adhesive materials production and delivery provided by Devapriya et al [10]. Therefore, how to e ectively integrate the production and delivery stages at the operational level so as to decrease the operational costs and improve customer service becomes very important for the success of a company.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated production and distribution scheduling for perishable products

Marandi

Zegordi

2017

Scientia Iranica

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Abstract. This study is concerned with how the quality of perishable products can be improved by shortening the time interval between production and distribution. Since special types of food, such as dairy products, decay fast, the Integration of Production and Distribution Scheduling (IPDS), is investigated. This article deals with a variation of IPDS that contains a short shelf life product; hence, there is no inventory of the product in the process. Once a speci c amount of the product is produced, it must be transported with the least transportation time directly to various customer positions within its limited lifespans to minimize the delivery and tardy costs required to complete producing and distributing of the product to satisfy the demand of customers within the limited deadline. After developing a mixed-integer nonlinear programming model of the problem, because it is NP-hard, an Improved Particle Swarm Optimization (IPSO) is proposed. IPSO performance is compared with commercial optimization software for small-size and moderate-size problems. For large-size ones, it is compared with the genetic algorithm existing in the literature. Computational experiments show the e ciency and e ectiveness of the proposed IPSO in terms of both the quality of the solution and the time of achieving the best solution.

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Integrated production and distribution scheduling with a perishable product

Cited by 145 publications

References 17 publications

Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Integrated production and distribution scheduling for perishable products

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