Continuous review reorder point problems in a fuzzy environment

2003 ◽  
Vol 22 (5-6) ◽  
pp. 436-440 ◽  
Author(s):  
Ping-Feng Pai ◽  
Min-Min Hsu
Keyword(s):  
Continuous Review ◽  
Reorder Point ◽  
Fuzzy Environment

Multi-Echelon Supply Chain Modeling With Dynamic Continuous Review Inventory Policy

2012 ◽  
pp. 1505-1521
Author(s):  
K. Narayana Rao ◽  
K. Venkata Subbaiah
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Goal Programming ◽  
Chain Model ◽  
Continuous Review ◽  
Fuzzy Environment ◽  
Supply Chain Model ◽  
Fuzzy Goal ◽  
Supply Chain Modeling ◽  
Continuous Review Policy

In this chapter, an integrated procurement, production and distribution supply chain model is developed in fuzzy environment and performance vector of the supply chain is determined by solving strategic model and tactical model iteratively. Mixed integer programming model is formulated through fuzzy goal programming approach in strategic level. In the tactical level, dynamic continuous review inventory policy for controlling of raw material inventory at supplier echelon, finished products at plant echelon and distribution center echelons is assumed. The inventory models are solved by considering the interdependency of economic order quantity and reorder point. The supply chain model, which is developed in fuzzy environment, finds compromise solution with multiple, vague and in-compatible objectives. Fuzzy goal programming techniques provide feasible solutions with flexible model formulation in decision-making problems, which involve human judgments in decision-making. Need for supply chin modeling with dynamic continuous review policy in fuzzy environment and the existing literature are outlined in Introduction. Fuzzy supply chain modeling with dynamic continuous review policy for controlling of the raw materials, finished products at plant and distribution center echelons is described in Fuzzy supply chain modeling section. Flow chart of the methodology is explained in Solution Methodology section. The proposed model is illustrated through a numerical example. Supply chain cost, Volume flexibility and unit costs are determined and presented in Results and Discussion section. Importance of the methodology and future scope is made in Conclusion section. This model finds application in the industries involving continuous production like oil and natural gas, steel manufacturing industries etc

scholarly journals Designing of Inventory Control for Aluminum Industry

2018 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Ineu Widaningsih Sosodoro ◽  
Anastasia Lidya Maukar ◽  
Intan Puspita Pribadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Manufacturing Industry ◽  
Raw Material ◽  
Review System ◽  
Inventory Cost ◽  
Continuous Review ◽  
Reorder Point ◽  
Total Inventory

<p>Inventory is one of important factors in manufacturing industry to ensure production process run. This research was conducted in an aluminum ingot manufacture company. The company faces a problem to manage the inventory system for their main raw material. The problem deals with the high expenditure due to safety stock that causes high inventory cost. Total inventory cost based on current condition is $270,706 per year. The proposed improvement method that used in this analysis is continuous review system. This method is applied to determine the appropriate Reorder Point (ROP) and to minimize the inventory cost. Based on the proposed improvement, total inventory cost can be reduced by 30%. This proposed system is also equipped with Decision Support System by using what-if analysis method as the tool to make decision for the next several periods by giving several scenarios and considering the aspects that influence to decision.<br />Keywords: Inventory, Reorder point, Continuous Review System, Decision Support System, What If Analysis, Scenario</p>

Multi-Echelon Supply Chain Modeling With Dynamic Continuous Review Inventory Policy

2011 ◽  
pp. 146-167
Author(s):  
K. Narayana Rao ◽  
K. Venkata Subbaiah
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Goal Programming ◽  
Chain Model ◽  
Continuous Review ◽  
Fuzzy Environment ◽  
Supply Chain Model ◽  
Fuzzy Goal ◽  
Supply Chain Modeling ◽  
Continuous Review Policy

In this chapter, an integrated procurement, production and distribution supply chain model is developed in fuzzy environment and performance vector of the supply chain is determined by solving strategic model and tactical model iteratively. Mixed integer programming model is formulated through fuzzy goal programming approach in strategic level. In the tactical level, dynamic continuous review inventory policy for controlling of raw material inventory at supplier echelon, finished products at plant echelon and distribution center echelons is assumed. The inventory models are solved by considering the interdependency of economic order quantity and reorder point. The supply chain model, which is developed in fuzzy environment, finds compromise solution with multiple, vague and in-compatible objectives. Fuzzy goal programming techniques provide feasible solutions with flexible model formulation in decision-making problems, which involve human judgments in decision-making. Need for supply chin modeling with dynamic continuous review policy in fuzzy environment and the existing literature are outlined in Introduction. Fuzzy supply chain modeling with dynamic continuous review policy for controlling of the raw materials, finished products at plant and distribution center echelons is described in Fuzzy supply chain modeling section. Flow chart of the methodology is explained in Solution Methodology section. The proposed model is illustrated through a numerical example. Supply chain cost, Volume flexibility and unit costs are determined and presented in Results and Discussion section. Importance of the methodology and future scope is made in Conclusion section. This model finds application in the industries involving continuous production like oil and natural gas, steel manufacturing industries etc

scholarly journals PERENCANAAN PERSEDIAAN SELURUH PRODUK KATEGORI DRY FOOD DENGAN PENDEKATAN METODE PROBABILISTIK CONTINUOUS REVIEW (S,S) SYSTEM DI GUDANG RETAIL PT XYZ BANDUNG

2016 ◽  
Vol 3 (03) ◽  
pp. 1
Author(s):  
Ratna Wulan Sari ◽  
Dida Diah Damayanti ◽  
Budi Santosa
Keyword(s):  
Cold Storage ◽  
General Area ◽  
Sensitive Area ◽  
Safety Stock ◽  
Continuous Review ◽  
Reorder Point ◽  
Dry Food

PT XYZ adalah salah satu perusahaan retail yang terletak di Bandung. Salah satu produk yang dijual adalah produk kategori yaitu Dry food. Lokasi penyimpanan produk kategori Dry food dibagi menjadi tiga lokasi yaitu General Area, Sensitive Area, dan Cold storage. Selama ini persediaan produk kategori dry food yang berada di dalam gudang PT XYZ belum dikelola dengan baik, sehingga persedian yang disimpan melebihi kapasitas gudang. Hal tersebut menyebabkan terjadinya overstock yang berdampak pada meningkatnya total biaya persediaan pada PT XYZ. Permintaan konsumen pada PT XYZ cenderung fluktuatif sehingga penjualan bersifat probabilistik. Pada penelitian ini dilakukan penerapan metode probabilistik model Continuous review (s,S) System yang bertujuan untuk menentukan parameter persediaan yang mendekati optimal dengan interval dan ukuran jumlah pemesanan yang optimum untuk setiap SKU pada kategori Dry food, sehingga dapat meminimasi total biaya persediaan. Hasil dari metode probabilistik model Continuous review (s,S) System ini dapat mengetahui ukuran lot persediaan, cadangan pengaman (safety stock), reorder point yang optimal, dan meminimasi ongkos total persediaan. Pemilihan model Continuous review (s,S) System memberikan penurunan sebesar 52% pada General Area, 75% pada Sensitive Area, dan 62% pada Cold storage.

scholarly journals Pengendalian Persediaan Darah Dengan Metode Continuous Review System Pada Palang Merah Indonesia (PMI) Kota Pekanbaru

2019 ◽  
Vol 9 (2) ◽  
pp. 49-57
Author(s):  
Faradila Ananda Yul
Keyword(s):  
Inventory Control ◽  
Blood Supply ◽  
Blood Type ◽  
Review System ◽  
Inventory Cost ◽  
Safety Stock ◽  
Continuous Review ◽  
Reorder Point ◽  
Total Inventory ◽  
The Impact

Blood Transfusion Unit (UTD) PMI Pekanbaru is the organization in charge to provide blood than the one set by the Minister of Health.Masalah yang banyak terdapat pada UTD PMI Kota Pekanbaru adalah permintaan dan ketersediaan akan darah yang tidak pasti dan sulit untuk dikontrol.Thera are many problems in UTD PMI Pekanbaru is the demand and availability of the blood which is unpredictable and difficult to control. Artinya pasokan darah bisa saja habis saat permintaan tinggi dan bisa pula kadaluwarsa akibat terlalu lama di dalam penyimpanan. This means that the blood supply could be depleted when demand is high and can also expire due to too long in storage. Dampak dari tidak tersedianya darah dapat mengakibatkan kematian bagi pasien yang membutuhkannya. The impact of the unavailability of blood can be fatal for patients who need them. Oleh karena itu, diperlukan pengendalian persediaan darah supaya PMI mampu memenuhi permintaan darah. Therefore, the necessary blood inventory control so that PMI is able to meet the demand for blood. Penelitian ini bertujuan untuk menentukan jumlah persediaan darah dan frekuensi pengambilan darah yang optimal. This study aims to determine the amount of blood supply and the frequency of optimal blood. jumlah persediaan dan frekuensi pengambilan darah yang optimal. Inventory number and the frequency of optimal blood. Penelitian ini diawali dengan pengambilan data ke pihak PMI, dilanjutkan dengan pengolahan data dengan menggunakan model continuous review system , pengendalian persediaan dilakukan dengan cara melakukan perhitungan safety stock,reorder point, untuk setiap golongan darah serta implementasi two bin system .This study begins by loading data to the PMI, followed by processing the data using a model of continuous review system, inventory control is done by calculating safety stock,reorder point, for each blood type as well as the implementation of the two-bin system.Berdasarkan metode continuous review system,Total inventory cost (TIC) yang minimum rata-rata dari semua golongan darah adalah sebesar 104.389 rupiah.Based on the method of continuous review system,total inventory cost (TIC) the minimum average of all blood groups amounted to 104 389 rupiah. Terdapat penghematan sekitar 75.000 rupiah atau 56% per kantung darah. There is a saving of about 75,000 rupiah or 56% per bag of blood. Berdasarkan hasil tersebut maka biaya persediaan yang dijalankan pihak UTD PMI kota Pekanbaru belum mencapai titik minimal. Based on these results the cost of inventory that is carried out by UTD PMI Pekanbaru city has not reached the minimum point.  

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

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