Determining the optimum production quantity in three-echelon production system with stochastic demand

Varyani, Asieh; Jalilvand-Nejad, Amir

doi:10.1007/s00170-014-5621-1

Cited by 12 publications

(9 citation statements)

References 35 publications

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“…Pada penelitian-penelitian lainnya, seperti yang dilakukan oleh [16] mereka mengembangkan model inventaris produksi satu item dengan rantai pasokan yang terdiri dari tahap sebelum proses, tahap perakitan dan yang terakhir tahap pada gudang pusat dengan mempertimbangkan permintaan selama waktu tunggu yang bersifat stokastik, mereka juga mempertimbangkan faktor konversi lainnya. [11] mengembangkan model EPQ dengan produsen tunggal dan hanya pembeli tunggal dengan mempertimbangkan batasan anggaran dan beberapa pengiriman terpisah.…”

Section: Pendahuluanunclassified

Model Penentuan Jumlah Produksi yang Optimal pada Rantai Pasok dengan Produsen Tunggal dan Multi-Retailer

Hermawan

Dahda

Andesta

2021

JOPT

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Determining the optimal size of procurement or production is the key word in determining optimal inventory. An integrated procurement and production size optimization model becomes a model that provides optimal results for all parties involved in the supply chain. This study proposes the development of a single producer and multi retailer supply chain model with the aim of minimizing the total inventory cost (TIC). The company distributes products to each retailer for further sale to consumers by the retailer. The annual demand from retailers is assumed to be different. Model development is carried out to obtain optimal production quantities for producers, optimal delivery quantities and determine the optimal number of retailers. The determination is based on the manufacturer's production cycle time is the same as the inventory cycle time at each retailer is the same. A simple algorithm is used to determine the optimal cycle time which can be followed by determining the optimal production size, optimal number of shipments and optimal number of retailers. At the end of this study, a numerical example of the use of a model that has been built based on case study data of a fertilizer industry is presented as a producer and its partners as retailers. The results of the numerical examples that have been carried out show that the optimal number of retailers is 3 retailers with an optimal production of 742 units, the determination of the optimal number of retailers is obtained from experiments with the lowest TIC value.

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Section: Pendahuluanunclassified

Model Penentuan Jumlah Produksi yang Optimal pada Rantai Pasok dengan Produsen Tunggal dan Multi-Retailer

Hermawan

Dahda

Andesta

2021

JOPT

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“…The goal is to nd the order quantities along with the number of shipments received by retailers and vendors so that the total inventory cost of the chain can be minimized. Varyani et al [16] considered a three-layer integrated production inventory model consisting of a central warehouse and a manufacturer including two independent departments as processing and assembly parts.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain

et al. 2017

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Abstract. Customer satisfaction is an important issue in competitive strategic management of companies. Logistical and cross-functional drivers of supply chain have an important role in managing customer satisfaction. Customer satisfaction depends on quality, cost, and delivery. In this paper, a fuzzy mixed integer nonlinear programming model is proposed for a multi-item multi-period problem in a multi-level supply chain. Minimization of costs, manufacturing and transportation time, transportation risks, maximization of quality by minimizing the number of defective products, and maximization of customers' service levels are considered to be objective functions of the model. Furthermore, it is assumed that the demand rates are fuzzy values. An exact "-constraint approach is used to solve the problem. The problem is computationally intractable. Therefore, the Non-dominant Sorting Genetic Algorithm (NSGA-II) is developed to solve it. The Taguchi method is utilized to tune the NSGA-II parameters. Finally, some numerical examples are generated and solved to evaluate the performance of the proposed model and solving methods.

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“…The main objective of using this method is to optimally combine total costs from an integrated perspective between producers and distributors (A Eynan, nd). As for other studies, there are those who have developed a number of models such as that carried out by (Varyani et al, 2014), which in this study aims to obtain the optimal solution from the model inventory. According to (Sharma, 2009) to develop an EOQ model with a single product, an independent decision is treated under deterministic conditions and the level of retail demand is assumed to be constant.…”

Section: Introductionmentioning

confidence: 99%

Inventory Model Between Manufacturers and Distributors Integrated in the Fertilizer Production Supply Chain

Khotimah

2021

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Along with the development of an increasingly competitive industrial environment, it takes a disciplined supply chain management that aims to optimize the availability of products from a company. Thus, the balancing of planning, production and inventory figures of products is important in a business activity. The model of optimizing procurement and production sizes is integrated into a model that provides optimal results for all parties involved in the supply chain. This research proposes the development of a supply chain model of one manufacturer and 3 distributor components with the aim of minimizing total inventory costs (TIC) and determining the length of time of one production cycle so that producers can meet each distributor's needs and achieve the best coordination between producers and distributors so as to allow for no delays in delivery and the total amount of optimal inventory costs to each distributor. A simple algorithm is used to determine the optimal cycle time and total cost of supply to each distributor. A simple algorithm is used to determine the optimal cycle time and total cost of supply to each distributor. At the end of this study came a numerical example of the use of models that have been built based on case study data of a fertilizer industry as a producer and 3 components of distributors, namely subsidies, in-house and commercial. The results of numerical examples that have been done show that the optimal distributor is subsidized with optimal production of 274,773 units for 4 working days to run one production cycle. The optimal distributor selection is determined by the lowest TIC value of the three trials that have been conducted, namely obtained the value of TIC n = 1 of $ 1,905,651.

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Determining the optimum production quantity in three-echelon production system with stochastic demand

Cited by 12 publications

References 35 publications

Model Penentuan Jumlah Produksi yang Optimal pada Rantai Pasok dengan Produsen Tunggal dan Multi-Retailer

Model Penentuan Jumlah Produksi yang Optimal pada Rantai Pasok dengan Produsen Tunggal dan Multi-Retailer

A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain

Inventory Model Between Manufacturers and Distributors Integrated in the Fertilizer Production Supply Chain

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