An economic production model for time dependent demand with rework and multiple production setups

Singh, S.R.; Jain, Shalini; Pareek, Sarla

doi:10.5267/j.ijiec.2013.10.003

Cited by 10 publications

(5 citation statements)

References 18 publications

(12 reference statements)

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“…Also [41] explained an integrated inventory product model with a single-stage production process and reworking faulty objects. [42] presented rework with multi-production fixings. [43] investigated an economic generation quantity model for three kinds of faulty goods with rework the economic production quantity (EPQ) model problem for a single object below the hypotheses of the defective commodity, and complete rework has been performed by [44].…”

Section: Reworkmentioning

confidence: 99%

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

2020

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Today, the advent of new technologies, globalization of markets, customers' varied needs, and increasingly fierce competition, are making SMEs seek to improve engagement with their suppliers, and cost management practices in order to survive. SMEs clearly need to focus on the interests of the entire supply chain by enacting win-win policies. In this study, we investigate a two-level inventory model featuring a manufacturer and a buyer in the competitive market with the policy of producing new products. Imperfect quality products and the capacity to rework are also considered in the model. In other words, because of the competitive nature of the market, any increase in price leads to a decrease in demand. The mathematical model is proposed over two scenarios: a scenario where shortage can occur, and one with no possibility of shortage. The objective function of the mathematical model revolves around the central goal of maximizing the total profit of the supply chain considering both independent and joint optimization by the supply chain members. A new algorithm is proposed to solve the mathematical model whose applicability is evaluated by giving a numerical example to the analysis software MATLAB. The results are analyzed and discussed using a sensitivity analysis approach.

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Section: Reworkmentioning

confidence: 99%

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

2020

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“…An EPQ model based on the retailer's stock level was proposed by Kaliraman et al (2015) wherein it is prescribed that the rate of deterioration is Weibull distribution and the production cost is consisting of raw material cost, labor cost, wear and tear cost and environmental cost. Singh et al (2014) proposed an economic production model for time dependent demand with rework and multiple production setups where production is depending on the demand. Due to learning effect of employees, holding cost partially constant and partially decreasing in each cycle which is studied in Sangal et al (2016).…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-production inventory model for deteriorating items considering penalty and environmental pollution cost with failure rework

Sekar¹,

Uthayakumar²

2017

10.5267/j.uscm

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Many researchers focused on economic production quantity (EPQ) model for deteriorating items with rework of defective items in a single production run. Few of them proposed the model for multi-production inventory model under the assumptions (i) all the defective items can be reproduced as serviceable items and (ii) all the deteriorating items can be detached from the inventory through screening process. However, in real life manufacturing systems, due to controllable or uncontrollable factors, the defective items may not be reproduced as serviceable items and hence the generation of scrap (disposable) items is potential. It is possible that the internally deteriorating items like fruits, vegetables, eggs, pharmaceutical drugs, etc. pass on to customers which will make negative impact on corporate image in the global market. This paper presents a multi-production run inventory model for deteriorating items with scrap, defective items, failure rework and penalty cost for selling the deteriorating items to customers under finite planning horizon. Our objective is to determine the optimal production run, optimal finite planning horizon by minimizing the total cost of the system. A solution procedure with an algorithm is proposed and a numerical example is provided to demonstrate the applicability of the model. Finally, sensitivity analysis is provided to provide managerial phenomena of the system.

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“…With the increase in the volume of iron and steel production and consumption, analyzing inventory in realtime has become very important. Inventory is all the products with monetary value that are kept idle in the production process for the consumption of goods or services in the production and sales process [75]. In order for a product to be considered an inventory as an idle resource, it must first have an economic value.…”

Section: Introductionmentioning

confidence: 99%

Stock Detection of Iron and Steel Products with Image Processing and SDSS Decision Support System

2024

jjmie

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The iron and steel industry is one of the leading sectors contributing to the economic power of countries. It is incorporated into numerous fields, including automotive, construction, manufacturing, agriculture, defense, and healthcare. Today, the increasing supply and demand balance in iron and steel products makes the stock management and control of the products crucial. The large quantity and variety of products in the iron and steel industry make stock management and control difficult. Creating stock for the business is a very costly process and is one of the important elements of the business. Successful stock management can make the business financially advantageous. This study aims to estimate the stock costs of different products and quantities according to different dates found in the business by using data mining. For this purpose, data mining classifier models are used, and estimated costs are found. By establishing a stock tracking system throughout the supply chain, the business should register all inventory movements of the products. It should work in an integrated way with stock management costing. Thus, unforeseen decreases and financial losses in products can be detected.The iron and steel sector, a key player in enhancing competition among nations and shaping the economic landscape, caters to the needs of various industries through its commitment to sustainable steel production. The industry has encountered challenges due to the swift advancements in recent years, impacting the costs associated with iron and steel products and posing issues for the sector. Tackling these challenges is essential for fostering national development and enhancing the competitiveness of businesses. This research delves into the elements influencing the expenses within the iron and steel industry, emphasizing the importance of minimizing factors leading to elevated costs. An automation system was developed using image processing techniques, and iron and steel products were analyzed. In the automation system, k-means and twostep, one of the clustering analysis methods, was applied.A decision support system defined as SDSS (Steel Decision Support System) and BIPS (Burak's Image Processing System)has been developed to determine the inventory costs of iron and steel products, adopting a data mining approach and including clustering methods to reveal similar inventory costs. Measurements with the SDSS-BIPS automation system were 94.4% successful. Withcost levels were determined by matching the products in the iron and steel business database with their costs.

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An economic production model for time dependent demand with rework and multiple production setups

Cited by 10 publications

References 18 publications

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

A multi-production inventory model for deteriorating items considering penalty and environmental pollution cost with failure rework

Stock Detection of Iron and Steel Products with Image Processing and SDSS Decision Support System

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