Determining manufacturing batch sizes for a lumpy delivery system with trend demand

Diponegoro, Ahmad; Sarker, Bhaba R.

doi:10.1016/s0925-5273(02)00108-1

Cited by 16 publications

(14 citation statements)

References 15 publications

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“…, M ). A similar model with trend delivery quantities at a fixed interval delivery was presented in Diponegoro and Sarker (2002). The total cost is a polynomial function with decision variables M and m j ( j ¼ 1, 2, .…”

Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

“…A search procedure was proposed to find minimum average cycle cost, from first cycle to the last one for a given time horizon. But the procedure in Diponegoro and Sarker (2002) might not find the optimal solution for the total cost in the full planning horizon. So, a different search algorithm is set up to solve our problem which can find better solution than the method in Diponegoro and Sarker (2002) by numerical examples in Section 6.…”

Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

“…The algorithm searches the optimal M from the smallest number forward, and then computes m j to achieve minimum total cost by using Matlab function fmincon for each given M. The procedure in Diponegoro and Sarker (2002) was to search optimal m j with minimum average cost from the first cycle forward. Optimal M would be determined after all m j have been known.…”

Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

“…Sarker and Khan (1999) presented three basic models of raw material ordering and three basic models of product delivery policy to satisfy the just-in-time shipment and then studied the several combinations of these basic models. Diponegoro and Sarker (2002) considered that the increasing and declining demands make the shipment quantities not the same at fixed intervals, and the production batches in different periods were not the same. Lanshun, Xiaofei, and Dechen (2006) developed a buyer-supplier coordination model to facilitate frequent deliveries in small lot-sizes in manufacturing supply chains.…”

Section: Introductionmentioning

confidence: 99%

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Integrated planning problem in supply chains with time-varying delivery

Wang

Liu

Ding

et al. 2011

International Journal of Systems Science

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We consider a serial supply chain consisting of a raw material supplier, a manufacturer, a distribution centre and a retailer in the presence of time-varying delivery between manufacturer facility and the retailer warehouse. Delivery time functions are developed based on practical data analysis and the cost models for both linear and non-linear delivery time functions are derived. Analytic solution for system with linear delivery times is derived and a search algorithm for system with non-linear delivery times is established. Finally, sensitivity analysis is made to help decision makers achieve a lower total cost in practice.

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Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

Section: Total Cost When Delivery Time Is a Non-linear Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Integrated planning problem in supply chains with time-varying delivery

Wang

Liu

Ding

et al. 2011

International Journal of Systems Science

View full text Add to dashboard Cite

show abstract

“…According to Diponegoro and Sarker (2002), the life cycle of product is finite, therefore the development of inventory policy in each stage of the product life cycle should consider finite planning horizon. Many researches have been conducted for the development of inventory policy for the case of linear increasing demand pattern under finite planning horizon.…”

Section: Introductionmentioning

confidence: 99%

A repetitive forward rolling technique for inventory policy with non-linear increasing demand pattern considering shortage

Astanti

Luong

2014

IJMOR

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Demand of any particular products might not be stable, e.g., in the growth stage of the product life cycle where demand of most products might possess increasing functional form. The famous EOQ model is, then, not appropriate in this situation, since it was developed under the assumption of constant demand pattern. The research in this paper is focused on inventory decision problem with non-linear increasing demand pattern and considering shortage, by proposing a heuristic method based on repetitive forward rolling technique for determining the inventory policy for this case, i.e., the replenishment times and shortage points. The proposed technique is developed in such a way that demands during a predefined planning horizon are exactly met. Numerical experiments that are conducted to illustrate the applicability of the proposed technique show that it can provide competitive results when it is compared with other proposed techniques in the past researches.

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Finite horizon planning with fixed-interval deliveries and no shortage

Sarker

Diponegoro

2006

OPSEARCH

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Determining manufacturing batch sizes for a lumpy delivery system with trend demand

Cited by 16 publications

References 15 publications

Integrated planning problem in supply chains with time-varying delivery

Integrated planning problem in supply chains with time-varying delivery

A repetitive forward rolling technique for inventory policy with non-linear increasing demand pattern considering shortage

Finite horizon planning with fixed-interval deliveries and no shortage

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