Adaptive Control of a Production-Inventory Model with Uncertain Deterioration Rate

Bukhari, Fawzy

doi:10.4236/am.2011.29162

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…Model EOQ ini merupakan model persediaan barang yang sederhana dan selanjutnya model ini menjadi dasar bagi pengembangan untuk model-model persediaan yang lebih kompleks. Berbagai model persediaan untuk barang-barang perishable telah dikaji dari berbagai sudut pandang yang berbeda-beda, seperti model mengenai pengendalian sistem produksi untuk satu jenis barang dengan laju penurunan nilai barang yang tidak pasti telah dikembangkan oleh Bukhari [1]. Ferguson et al [2] memperluas model EOQ untuk barang-barang perishable dengan melihat biaya penyimpanan sebagai fungsi yang nonlinear dari waktu, sementara pada Indrianti et al [4] telah dikembangkan model persediaan untuk satu jenis barang dengan mempertimbangkan faktor kedaluwarsa bahan.…”

Section: Pendahuluanunclassified

Model Persediaan Multi Item dengan Mempertimbangkan Faktor Kedaluwarsa dan Faktor All Unit Discount

Limansyah¹,

Lesmono²

2012

jti

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This paper deals with determination of ordering policy for perishable goods, namely joint order policy or individual order policy. Expiration date is an important factor to be considered in the inventory system, especially in chemical or food industry. The problem becomes more complicated when the company has more goods with different expired dates. Another factor that has an influence to the inventory system is the supplier discount factor. A company can get benefit from this factor in order to reduce a total cost of inventory. In this paper, performance's criteria used for the selected policy is ordering policy that minimize the total cost of inventory by considering the expiration date and all unit discount.

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Section: Pendahuluanunclassified

Model Persediaan Multi Item dengan Mempertimbangkan Faktor Kedaluwarsa dan Faktor All Unit Discount

Limansyah¹,

Lesmono²

2012

jti

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“…The model checks for solution feasibility and adjusts the fundamental cycle time and production frequencies in a systematic manner until a feasible solution is obtained. Bukhari (2011) focused on a continuous time model of a production maintenance system in which a firm sells some of the produced single product and stock the remaining. Results showed that the actual production rate exponentially tend to the goal value while the inventory level, deterioration rate, and desired production rate oscillate about their goal values.…”

Section: Introductionmentioning

confidence: 99%

Application of Multi-Items Epq Models in Course Materials Management: Towards Building a Decision Support System for the National Open University of Nigeria

Adoga

Muazu²,

Barma³

2022

FJS

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The classic multi-item Economic Production Quantity (EPQ) model was applied in this research to solve the Course Materials production problem of National Open University of Nigeria (NOUN). The EPQ model is one of the essential components of the proposed Decision Support System (DSS) for production and inventory management of course materials in NOUN. Python programming was used to develop the DSS to give a flexible interface that is easy to use by all users. The EPQ module of the DSS generated essential outputs which answers basic questions such as when to produce, how much of each item to produce per production run, the cost of producing each item and the interval between the productions run. Testing of the EPQ module was carried out using test data. When implemented, the proposed solution will enhance decision making in the area of Course Material production at NOUN printing press and reduce the difficulties encountered by staff when using manual processes to resolve complex models on regular basis

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Optimal replenishment policy for multi-item probabilistic inventory model with all-units discount

Lesmono

Limansyah

Koswara³

2019

J. Phys.: Conf. Ser.

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In this paper, we develop a multi item inventory model for the retailer by considering all-units discount offered by the supplier. Demands in this model are assumed to be probabilistic following a Gamma distribution with certain values of shape and scale parameters. The aim of the model is to determine the optimal replenishment policy that minimize the total inventory cost. The total inventory cost was composed from the purchasing, ordering, handling or storing and shortage costs. All shortages are handled by backorder. We compare the individual and joint replenishment policies for the model and develop an algorithm to find the optimal replenishment policy. Numerical examples are given to give a better understanding of the model in comparing the individual and joint replenishment policies. We also perform sensitivity analysis by changing values of shape and scale parameters of the demand distribution to analyse the effects on the optimal solution.

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Adaptive Control of a Production-Inventory Model with Uncertain Deterioration Rate

Cited by 6 publications

References 12 publications

Model Persediaan Multi Item dengan Mempertimbangkan Faktor Kedaluwarsa dan Faktor All Unit Discount

Model Persediaan Multi Item dengan Mempertimbangkan Faktor Kedaluwarsa dan Faktor All Unit Discount

Application of Multi-Items Epq Models in Course Materials Management: Towards Building a Decision Support System for the National Open University of Nigeria

Optimal replenishment policy for multi-item probabilistic inventory model with all-units discount

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