Optimal integrated production-inventory system considering shortages and discrete delivery orders

Sadeghi, Heibatolah; Golpîra, Hêriş; Khan, Syed Abdul Rehman

doi:10.1016/j.cie.2021.107233

Cited by 16 publications

(6 citation statements)

References 66 publications

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“…Therefore, it was necessary to consider in our research, where this is evidenced. And indeed, this is demonstrated in the article by the authors [26]. The researchers report that they were able to obtain the optimal order quantity with the goal of minimizing total cost.…”

Section: A Basismentioning

confidence: 80%

“…This is because they altered the reorder policies, to consider defective or unexpected items in the inventory. Finally, the authors [26] implement a variation of the EOQ model and succeed in determining the optimal order and backorder quantities to obtain the minimum total cost.…”

Section: Eoq and Variationsmentioning

confidence: 99%

“…In the proposed model, programming and control was performed using the aggregate planning tool based on results obtained by a Linear Programming model similar to those presented in [14]. In addition, planning was done using demand forecasting techniques [26] and EOQ. The order in which this model was implemented is shown in Fig.…”

Section: B Proposed Modelmentioning

confidence: 99%

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Model to reduce the cost of production in a bottling company using the EOQ, Linear Programming and Aggregate Planning

Cusirimay-Balderrama¹,

Paredes-Saldaña²,

Castillo-Tejada³

2022

Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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Many companies require the implementation of operations engineering models to optimize processes in Peru. Companies often order production lots based on current inventory or orders from their vendors. The implementation of EOQ allows the development of a methodology to determine optimal production quantities in such a way that inventory and costs are reduced. It is desired to bring theoretical implementations of EOQ, Linear programming and aggregate planning to real industrial situations and observe their interrelationships. The present work develops a case study in which EOQ (Economic Order Quantity) based on unknown demand, Linear Programming and aggregate planning was implemented to a water bottling company located in Peru to reduce its costs. Simulations carried out using two different programs show that the information provided by EOQ, Aggregate Planning and Linear Programming reduce labor costs by 42% and the costs of ordering production by 47%. It is concluded that the EOQ and aggregate planning tools manage to reduce unnecessary costs in small and medium-sized companies.

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Section: A Basismentioning

confidence: 80%

Section: Eoq and Variationsmentioning

confidence: 99%

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Model to reduce the cost of production in a bottling company using the EOQ, Linear Programming and Aggregate Planning

Cusirimay-Balderrama¹,

Paredes-Saldaña²,

Castillo-Tejada³

2022

Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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show abstract

“…However, it requires a lot of investment, for example, buying a new machine every time demand changes is not profitable from the manufacturer's development strategy [7]. Several companies implement a social manufacturing system to reduce production costs due to diverse and changing customer demands [8,9]. Based on various product types and production quantities, the production model of manufacturing companies has undergone significant changes [10].…”

Section: Introductionmentioning

confidence: 99%

Social Manufacturing On Integrated Production System: A Systematic Literature Review

Sari

Herianto

Dharma

et al. 2023

Management Systems in Production Engineering

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Currently, the development of information technology in all fields is very rapid, including in the manufacturing sector, thus making the social environment of manufacturing change a lot. Traditional manufacturing research focuses on applying technology, such as production models, supplier arrangements, automation, advanced machines in the manufacturing industry, etc. Global competition and increasingly diverse customer demands are a phenomenon that occurs today. Social manufacturing is a new distributed, collaborative, and intelligent manufacturing, that every consumer can participate in the entire process of product design, manufacture, and even marketing. This study aims to examine the development of social manufacturing systems and the latest research in social manufacturing. The method used is to review the latest papers related to social manufacturing that provide a new paradigm for the manufacturing industry, then map based on the concepts, frameworks, and technologies used. The results of this review paper are in the form of mapping research papers taken from the database of a reputable international journal, Scopus. The mapping includes data on the author, co-author, terms on social manufacturing paper, year of publication, type of document and publisher. This systematic literature review can be one of the references for basic research on social manufacturing.

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“…[22] compared the classical EPQ model with a revised EPQ model that incorporates JIT delivery, and focused their attention on modelling the costs so that the space savings of JIT situations are better1, Pflected, thus showing that JIT implementation is superior. [23] proposed a manufacturer-retailer twostage model where the manufacturer conducts JIT deliveries to the retailer who operates with shortages that are backlogged. However, all these periodic delivery models do not consider used items recovery, unlike [5] that does.…”

Section: Introductionmentioning

confidence: 99%

An Inventory Model with Recovery and Periodic Delivery that Considers Carbon Emission Cost

Yeo¹

2022

Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)

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This paper proposes an integrated inventory model that considers three types of inventories: used items, service items, and raw materials. Used items are collected from the market and are restored to a serviceable condition to satisfy demand. If the quantity of the restored items is lacking, then the remaining demand is satisfied by converting raw materials into service items through a production run. Demand is satisfied by shipping periodically in batches of equal size. The warehousing of items incurs a carbon emission cost in addition to the traditional holding costs. Additionally, the transportation of items to the client incurs a carbon emission cost as well. The objective of the model is to provide insights to help determine both the frequency and the size of the batch shipments to minimize the joint total inventory cost and carbon emission cost. This paper also proposes a numerical solution procedure and provides a numerical example to illustrate the model. A numerical sensitivity analysis is performed to derive insights that are potentially beneficial to policy makers.

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Optimal integrated production-inventory system considering shortages and discrete delivery orders

Cited by 16 publications

References 66 publications

Model to reduce the cost of production in a bottling company using the EOQ, Linear Programming and Aggregate Planning

Model to reduce the cost of production in a bottling company using the EOQ, Linear Programming and Aggregate Planning

Social Manufacturing On Integrated Production System: A Systematic Literature Review

An Inventory Model with Recovery and Periodic Delivery that Considers Carbon Emission Cost

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