Integrated production and distribution planning for perishable food products

Farahani, Poorya; Grunow, Martin; Günther, Hans‐Otto

doi:10.1007/s10696-011-9125-0

Cited by 118 publications

(54 citation statements)

References 22 publications

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“…This modelling approach was coined block planning which is a common term in industry for cyclical scheduling of product variants belonging to the same product family. Applications of the block planning approach can be found in Lütke Entrup et al (2005) for scheduling yogurt production lines, in Günther et al (2006) for hair dye production, in Bilgen and Günther (2010) who developed an integrated model for production and distribution planning, in Farahani et al (2012) for the production and distribution of perishable food products and in Mattik et al (2014) for the scheduling of continuous casters and hot strip mills in the steel industry.…”

Section: Lot Size Modelling: Review and Discussionmentioning

confidence: 99%

The block planning approach for continuous time-based dynamic lot sizing and scheduling

Günther

2014

Bus Res

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ArticleThe block planning approach for continuous timebased dynamic lot sizing and scheduling Abstract This paper calls for a change in paradigm in lot sizing and scheduling. Traditionally, a discrete time scale is chosen to model lot sizing and scheduling. As an alternative, the so-called block planning concept is proposed which is based on a continuous representation of time. A mixed-integer linear optimization model is presented that determines the size and the time phasing of the individual production lots in a single-stage production system under the objective of minimizing the makespan. The modelling approach presented here assumes the grouping of product variants into setup families and the production of product variants within a family in a pre-defined sequence. Numerical results demonstrate the practicability of this approach under experimental conditions which reflect typical settings from a leading company in the European beverage industry.Keywords Lot sizing and scheduling Á Block planning Á Mixed-integer linear programming JEL Classification C61 Á M11

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Section: Lot Size Modelling: Review and Discussionmentioning

confidence: 99%

The block planning approach for continuous time-based dynamic lot sizing and scheduling

Günther

2014

Bus Res

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“…In some research, the types of products are more important than the types of transportation in practical models investigated in integrated modelling. Chen et al [19] and Farahani et al [3] propose a production and distribution scheduling for perishable food products. Liu et al [20] present an integrated scheduling to improve the operation of production and delivery in ready-mixed concrete plants.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Then, the production and distribution operations must be highly linked and integrated because any ine ciency in the integrated schedule causes a decrease in product quality, expiration before delivery, extra expenses, and lack of customer satisfaction. To ease this coordination, production sites are usually directly connected to customers by a eet of vehicles [3]. Consequently, there is little or no nished product inventory in the supply chain such that production and outbound distribution are very closely linked, which must be scheduled jointly in order to achieve a desired on-time delivery performance at a minimum total cost.…”

Section: Introductionmentioning

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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“…Shen (2013) presented a deterministic nonlinear program in rolling-schedule form for multi-item production planning with uncertain demand and a capacity constraint. Farahani et al (2012) investigated how the quality of some foods could be improved by shortening the time interval between production and delivery. Ahumada and Villalobos (2011) presented an operational model that generates short term planning decisions for the fresh produce industry.…”

Section: Literature Reviewmentioning

confidence: 99%

A two-stage production planning model for perishable products under uncertainty

Jey¹,

Javanshir²,

Mohajeri³

2017

10.5267/j.uscm

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In this study, a multi-product, multi-period and non-linear programming model is developed for production planning problem where demand is under uncertainty. The proposed study is designed for a real-world case study of chemicals production factory with 1 production line and 2 manual and automatic technologies. In manual technology, workers are working with 3 amateur, typical and professional skills in 2 typical and overtime working. Automatic technology in this system has n machines in which the repairing and maintenance of the machineries are also included. This system has n products and the products are life-limited and with diversity. The primary goal is to propose a model for improvement of the production planning and minimization of the production system costs. The products in high volume and various types are produced and they are stored in bottles as the final products. For different production periods, the human forces capacities are considered and the level of employment or forces dismissal are considered. The production process is forwarding and backward process is not acceptable; that is, it is not allowable to rework in this system. Delivering final product from stockpiles to the retailers is conducted using vehicles with limited capacity. To solve the model in larger space and because of the complexity of the model, meta-heuristic algorithm is used. Finally, it is concluded that due to covering most of the assumptions in perishable products production, the proposed model is closer to the real-world circumstances and reduces costs in production systems.All rights reserved. Growing Science Ltd. 7

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Integrated production and distribution planning for perishable food products

Cited by 118 publications

References 22 publications

The block planning approach for continuous time-based dynamic lot sizing and scheduling

The block planning approach for continuous time-based dynamic lot sizing and scheduling

Integrated production and distribution scheduling for perishable products

A two-stage production planning model for perishable products under uncertainty

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