Managing Uncertainties in Design Alternatives of EOL Products with Fractional Disassembly Yields

2022 ◽  
Vol 9 (1) ◽  
pp. 0-0
Keyword(s):  
End Of Life ◽  
Goal Programming ◽  
Design Alternatives ◽  
Proposed Model

This paper proposes a model of an advanced remanufacturing to order and disassembly to order (ARTODTO) system which evaluates various design alternatives of products to satisfy the demands of retrieved products, components and materials by disassembling these products at the end of their lives. The quality, quantity and variety of end-of-life (EOL) products are uncertain which lead to fractional disassembly yields. Goal programming is used to determine the quantities of EOL products to be acquired in order to meet all the demands of retrieved products, components and materials. A case-example of EOL dryers is presented to demonstrate the steps and implementation of the proposed model.

Analysis of Design Alternatives of End-of-Life Products Under Fractional Yields

2018 ◽  
pp. 18-41 ◽  
Author(s):  
Aditi D. Joshi ◽  
Surendra M. Gupta
Keyword(s):  
End Of Life ◽  
Goal Programming ◽  
Numerical Example ◽  
Purchase Cost ◽  
Design Alternatives ◽  
Proposed Model ◽  
Procurement Cost ◽  
Total Profit ◽  
Main Input ◽  
Disposal Cost

In this chapter, an advanced remanufacturing-to-order and disassembly-to-order (ARTODTO) system is considered to evaluate various design alternatives of end-of-life (EOL) products to meet products, components, and materials demands. There are uncertainties about the quantity, quality, and variety of returned EOL products, and these uncertainties lead to fractional disassembly yields. Since the main input to the system is EOL products, their quantities to be acquired is important, and should be determined such that they satisfy all the demands. The designs are evaluated based on four criteria: total profit, procurement cost, purchase cost, and disposal cost using goal programming (GP). A numerical example using EOL dryers is considered to illustrate the implementation of the proposed model.

A fuzzy goal programming approach for selecting sustainable suppliers

2017 ◽  
Vol 24 (5) ◽  
pp. 1138-1165 ◽  
Author(s):  
Peeyush Pandey ◽  
Bhavin J. Shah ◽  
Hasmukh Gajjar
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Qualitative Data ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Two Phase ◽  
Content Type ◽  
Lean Practices ◽  
Proposed Model ◽  
Fuzzy Goal

Purpose Due to the ever increasing concern toward sustainability, suppliers nowadays are evaluated on the basis of environmental performances. The data on supplier’s performance are not always available in quantitative form and evaluating supplier on the basis of qualitative data is a challenging task. The purpose of this paper is to develop a framework for the selection of suppliers by evaluating them on the basis of both quantitative and qualitative data. Design/methodology/approach Literature on sustainability, green supply chain and lean practices related to supplier selection is critically reviewed. Based on this, a two phase fuzzy goal programming approach integrating hyperbolic membership function is proposed to solve the complex supplier selection problem. Findings Results obtained through the proposed approach are compared to the traditional models (Jadidi et al., 2014; Ozkok and Tiryaki, 2011; Zimmermann, 1978) of supplier selection and were found to be optimal as it achieves higher aspiration level. Practical implications The proposed model is adaptive to solve real world problems of supplier selection as all criteria do not possess the same weights, so the managers can change the criteria and their weights according to their requirement. Originality/value This paper provides the decision makers a robust framework to evaluate and select sustainable supplier based on both quantitative and qualitative data. The results obtained through the proposed model achieve greater satisfaction level as compared to those achieved by traditional methods.

scholarly journals Evaluation of Design Alternatives of Sensor Embedded End-of-life Products in Multiple Periods

Procedia CIRP ◽  
2017 ◽  
Vol 61 ◽  
pp. 98-103 ◽  
Author(s):  
Aditi D. Joshi ◽  
Surendra M. Gupta ◽  
Aya Ishigaki
Keyword(s):  
End Of Life ◽  
Design Alternatives

A MULTI-CHOICE GOAL PROGRAMMING APPROACH FOR COTS PRODUCTS SELECTION OF MODULAR SOFTWARE SYSTEMS

2013 ◽  
Vol 20 (06) ◽  
pp. 1350026 ◽  
Author(s):  
MUKESH KUMAR MEHLAWAT
Keyword(s):  
Goal Programming ◽  
Execution Time ◽  
Selection Problem ◽  
Software Systems ◽  
Programming Approach ◽  
Delivery Time ◽  
Modular Software ◽  
Proposed Model ◽  
Aspiration Levels ◽  
Cots Products

In this paper, we propose a multi-choice goal programming (MCGP) model of the multi-objective commercial-off-the-shelf (COTS) products selection problem. The proposed model simultaneously minimize the total cost, size, execution time and delivery time and maximize the system reliability of a modular software system subject to many realistic constraints including incompatibility among COTS products. We assume that the decision maker provides multiple aspiration levels regarding cost, size, execution time, delivery time and reliability objectives using discrete choices. To obtain efficient COTS selection plans, we use MCGP methodology to solve the COTS products selection problem. A real-world case study is discussed to demonstrate the effectiveness of the proposed model and methodology.

scholarly journals PERANCANGAN FASILITAS PEMULIHAN KOMPONEN KENDARAAN DENGAN MENGGUNAKAN TEKNIK GOAL PROGRAMMING

Heuristic ◽  
2018 ◽  
Vol 15 (01) ◽  
Author(s):  
Yudi Syahrullah
Keyword(s):  
End Of Life ◽  
Goal Programming ◽  
Multiobjective Programming ◽  
Net Income

Masalah yang dihadapi oleh industri otomotif di Indonesia saat ini adalah belum tersedianya sebuah framework yang dapat dijadikan model dalam merancang jaringan pemulihan komponen kendaraan End-of-Life (EoL). Teknik goal programming sebagai multiobjective programming digunakan untuk mensimulasikan model dalam menyelesaikan masalah–masalah optimasi. Penelitian ini dapat membantu produsen otomotif untuk merancang strategi pemulihan komponen kendaraan EoL dengan objektif multi goal, diantaranya: memaksimalkan keuntungan (net income), mengurangi dampak lingkungan (emisi CO2), jumlah komponen yang dipulihkan (repair dan refurbish) oleh produsen dan jumlah komponen yang didaur ulang (recycle) oleh recycler. Aplikasi model pada salah satu produsen Z dilakukan untuk mengetahui sensitivitas variabel dari perubahan parameter dan diperoleh bahwa biaya untuk pembukaan fasilitas dan biaya untuk masing–masing alternatif pemulihan mempengaruhi alternatif strategi pemulihan kendaraan yang dipilih. Penurunan target untuk minimalkan dampak lingkungan, dapat memberikan solusi strategi yang lebih optimal dan dapat meningkatkan net income.kata kunci: pemulihan komponen, perbaikan, daur ulang, refurbishing, goal programming

scholarly journals Type-2 Duality Triangular Fuzzy Fractional Transportation Problem using Goal Programming Technique

2020 ◽  
Vol 8 (6) ◽  
pp. 1295-1302
Keyword(s):  
Goal Programming ◽  
Transportation Problem ◽  
Fuzzy Numbers ◽  
Programming Technique ◽  
Intuitionistic Fuzzy Numbers ◽  
Fuzzy Variables ◽  
Proposed Model ◽  
Fuzzy Parameters ◽  
Interval Valued

The authors focused goal programming technique for solving type-2 duality fuzzy fractional transportation problem by using interval-valued triangular intuitionistic fuzzy numbers. The proposed method solves three types of models in which variables are taken as type-2 fuzzy variables which have spring up to the fuzzy fractional transportation problem. In these models, duality is applied and a particular type of non-linear membership functions are used to resolve duality fractional transportation problem including fuzzy parameters. A numerical example for examining the performance of the proposed model is envisaged here.

scholarly journals Lexicographic Goal Programming Model for Bank’s Performance Management

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ali AlArjani ◽  
Teg Alam
Keyword(s):  
Saudi Arabia ◽  
Performance Management ◽  
Goal Programming ◽  
Financial Management ◽  
Programming Model ◽  
Financial Statements ◽  
Operating Income ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Lexicographic Goal Programming

Any bank’s financial management is essential to preparing the assets and liabilities for multiple goals. In this paper, we develop an optimal bank model for the financial management department in the Kingdom of Saudi Arabia. The lexicographic goal programming model was used to formulate the banks’ performance management. In this study, the six goals of one of the leading banks in Saudi Arabia, namely, maximize asset, minimize liability, maximize equity, maximize operating income, maximize net income, and maximizing total goal achievements in the financial statement, were studied. To illustrate the model, we have focused on Al Rajhi Bank’s financial statements as a case study. The data was obtained from the banks’ financial statements. The outcomes of the study exhibited that all goals were accomplished. This proposed model is dynamic because it will help examine the banks’ financial strengths located in the kingdom. As a result, the proposed model can guide banking firms in making decisions and developing strategies to deal with numerous monetary circumstances.

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison M. Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Product Configuration ◽  
Target Component ◽  
Configuration Design ◽  
Customer Demand ◽  
Proposed Model ◽  
Disassembly Sequence ◽  
Selective Disassembly

Abstract Since remanufacturing requires additional processes compared to the production process of new products, various factors need to be considered. First, it is necessary to decide which end-of-life (EoL) product parts/modules to use among the EoL products available for the remanufactured product. At this stage, it is crucial to understand the future customer demand and requirements for each part. Next, it is also necessary to figure out whether selective disassembly is possible to disassemble a specific target component without completely disassembling the product. With the increasing number of product designs that are difficult to disassemble, the disassembly sequence and level should be considered for the efficiency of the overall remanufacturing process. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on current EoL products, and (ii) establish a harvest plan that determines the optimal operations and levels. This proposed model can be used as a tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
pp. 1-11
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Integrated Model ◽  
Product Configuration ◽  
Configuration Design ◽  
Recovery Strategy ◽  
Disassembly Process ◽  
Production Processes ◽  
Proposed Model

Abstract Remanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability by restoring discarded or traded-in used products to a like-new condition. Unlike the production process of new products, remanufacturing requires unique production processes, such as collecting used products and dis(re)assembly. Therefore, several factors need to be considered for the design of remanufactured products. First, when designing a remanufactured product, it is crucial to ensure that the specifications of components meet the customer's requirements because the remanufacturing uses relatively outdated components or modules. In addition, it is necessary to consider the disassembly level and order to facilitate the disassembly process to obtain the desired parts. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on End-of-life products, and (ii) establish a harvest plan that determines the optimal disassembly operations and levels. This proposed model can be used as a decisionmaking tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.

Managing return flow of end-of-life products for product recovery operations

2017 ◽  
Vol 7 (1) ◽  
pp. 169-177
Author(s):  
Seval Ene ◽  
Nursel Öztürk
Keyword(s):  
End Of Life ◽  
Reverse Logistics ◽  
Product Recovery ◽  
Forecasting Model ◽  
Return Flow ◽  
Data Sets ◽  
Product Returns ◽  
Data Set ◽  
Product Return ◽  
Proposed Model

Increased consciousness on environment and sustainability, leads companies to apply environmentally friendly strategies such as product recovery and product return management. These strategies are generally applied in reverse logistics concept. Implementing reverse logistics successfully becomes complicated for companies due to uncertain parameters of the system like quantity, quality and timing of returns. A forecasting methodology is required to overcome these uncertainties and manage product returns. Accurate forecasting of product return flows provides insights to managers of reverse logistics. This paper proposes a forecasting model based on grey modelling for managing end-of-life products’ return flow. Grey models are capable for handling data sets characterized by uncertainty and small sized. The proposed model is applied to data set of a specific end-of-life product. Attained results show that the proposed forecasting model can be successfully used as a forecasting tool for product returns and a supportive guidance can be provided for future planning. Keywords: End-of-life products, grey modelling, product return flow, product recovery; 

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