Investment and lot size planning in a supply chain: coordinating a just-in-time-delivery with a Harris- or a Wagner/Whitin-solution

Fandel, Günter; Trockel, Jan

doi:10.1007/s11573-015-0800-6

Cited by 11 publications

(2 citation statements)

References 46 publications

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“…These algorithms are well suited to be applied to conventional production batch sizing problems as well as to special domains such as natural resource management [10]. Since inventory optimization can be of particular importance in just-in-time and just-in-sequence supply processes, the application of these algorithms in these domains is also of increasing importance [11]. An interesting application area of the Wagner-Whitin algorithm is the optimization of processes that take into account warranty conditions [12].…”

Section: Potential Applications Of Wagner-whitin and Silver-meal Algo...mentioning

confidence: 99%

Impact of dynamic lot sizing techniques on costs of material requirement planning

Gáti

Bányai

2023

ALS

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Since the beginning of computerised production management, material requirement planning has been a central part of optimising company processes. The reason for this is that the precise computation and optimisation of material requirements can result in significant cost savings for the company in the short term, which can have a significant impact on the overall efficiency of the company's processes. To this end, the definition of the material requirements for production has been complemented by new optimisation methods that can be used to further improve the solution of the problem of dynamic lot sizing. In this paper, the authors investigate the effectiveness of the Wagner-Whitin and Silver-Meal algorithms through a scenario analysis. The results demonstrate that significant cost savings can be achieved by using both algorithms.

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Section: Potential Applications Of Wagner-whitin and Silver-meal Algo...mentioning

confidence: 99%

Impact of dynamic lot sizing techniques on costs of material requirement planning

Gáti

Bányai

2023

ALS

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“…The authors proposed an optimal policy where the shipment intervals as well as the lot sizes are varied. Fandel and Trockel (2016) focused on lot size planning of a two-firm supply chain expansion to include investment decisions and to coordinate the just-in-time-delivery with the lot size planning on the basis of the Harris-or the Wagner/Whitin-approach, which resulted the disposition benefits by Wagner/Whitin led to dominant solutions. Torkabadi and Mayorga (2017) considered on the implementation of Just-In-Time (JIT) in a multi-stage, and multi-product supply chain with Kanban, ConWIP, and a hybrid PCP.…”

Section: Introductionmentioning

confidence: 99%

Operational planning of supply chains in a production and distribution center with just-in-time delivery

Biswas

Sarker

2020

JIEM

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Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inventory of raw materials and finished goods are involved, respectively. Therefore, it is important to find optimal solutions, which are beneficial for both supplier, manufacturer and retailer.Design/methodology/approach: This research focuses on a semi-continuous manufacturing facility by assuming that the production of succeeding cycle starts immediately after the production of preceding cycle. In reality, the inventory of a supply chain system may not be completely empty. A number of products may be left over after the deliveries are made. These leftover inventories are added to the next shipment after the production of required amount to makeup a complete batch for shipment. Therefore, it is extremely important to search for an optimal strategies for these types production facilities where leftover finished goods inventory remains after the final shipment in a production cycle. Considering these scenarios, an inventory model is developed for an imperfect matching condition where some finished goods remains after the shipments.Findings: Based on the previous observation, this research also considers a single facility that follows JIT delivery and produces multiple products to satisfy customers’ demand. For this problem a rotational cycle model is developed to optimize the facility operations. Both problems are categorized as mixed integer non-linear programming problems which are to be solved to find optimum number of orders, shipments and rotational cycle policy for multiple products. Also, this solution will lead to estimate the optimum production quantity and minimum total system cost.Research limitations: This research considers the supply chain based on manufacturers point of view and it does not consider the transportation cost associated with supply chain. Next study will be focused on issues with joint decision making, information sharing, and transportation decision.Practical implications: This study will help the managers of refinery and paper industries in making their operation smooth by applying optimizing techniques and robust decision making.Originality/value: Based on the literature, no research was found on continuous production system supply chain and its optimization with JIT delivery. This research will definitely provide a direction for such problem to the researchers.

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Simple Models

Díaz-Reza¹,

García-Alcaráz²,

Martínez-Loya³

2018

Impact Analysis of Total Productive Maintenance

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Investment and lot size planning in a supply chain: coordinating a just-in-time-delivery with a Harris- or a Wagner/Whitin-solution

Cited by 11 publications

References 46 publications

Impact of dynamic lot sizing techniques on costs of material requirement planning

Impact of dynamic lot sizing techniques on costs of material requirement planning

Operational planning of supply chains in a production and distribution center with just-in-time delivery

Simple Models

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