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.

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.

PMP-Based Optimization Method for Determining Airline Fleet Composition

2014 ◽  
Vol 505-506 ◽  
pp. 645-649
Author(s):  
Yu Wang
Keyword(s):  
Network Effects ◽  
Optimization Method ◽  
Numerical Example ◽  
Fleet Planning ◽  
Decision Variables ◽  
Proposed Model ◽  
Fleet Composition ◽  
Aircraft Type ◽  
Airline Fleet ◽  
The Impact

Traditional methods for determining airline fleet composition could not reflect the impact of network effects on fleet composition. To solve this problem for airlines operating in the mode of Hub & Spoke network, the passenger mix problem was incorporated into the model of determining airline fleet composition. The purchasing number of aircrafts in each fleet type, the frequencies of each aircraft type flying on legs and the spilling number of passengers from each itinerary were treated as decision variables. The limitations including maximum flying frequencies on each leg, available flying time each fleet type can provide and maximum passengers spilled from each flight leg were considered as constraints. A model to minimize the fleet planning cost was constructed. The numerical example shows that the fleet planning cost derived from this proposed model is 46266381.64 Yuan and reduces by 3914969.70 Yuan compared to the result from the traditional leg-based model. In hence, this proposed model is effective and feasible.

scholarly journals ‘Materials as a Design Tool’ Design Philosophy Applied in Three Innovative Research Pavilions Out of Sustainable Building Materials with Controlled End-Of-Life Scenarios

Buildings ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 64 ◽  
Author(s):  
Hanaa Dahy
Keyword(s):  
End Of Life ◽  
Case Studies ◽  
Design Process ◽  
Building Materials ◽  
Digital Fabrication ◽  
Life Cycles ◽  
Sustainable Building ◽  
Design Philosophy ◽  
Main Input ◽  
Sustainable Building Materials

Choosing building materials is usually the stage that follows design in the architectural design process, and is rarely used as a main input and driver for the design of the whole building’s geometries or structures. As an approach to have control over the environmental impact of the applied building materials and their after-use scenarios, an approach has been initiated by the author through a series of research studies, architectural built prototypes, and green material developments. This paper illustrates how sustainable building materials can be a main input in the design process, and how digital fabrication technologies can enable variable controlling strategies over the green materials’ properties, enabling adjustable innovative building spaces with new architectural typologies, aesthetic values, and controlled martial life cycles. Through this, a new type of design philosophy by means of applying sustainable building materials with closed life cycles is created. In this paper, three case studies of research pavilions are illustrated. The pavilions were prefabricated and constructed from newly developed sustainable building materials. The applied materials varied between structural and non-structural building materials, where each had a controlled end-of-life scenario. The application of the bio-based building materials was set as an initial design phase, and the architects here participated within two disciplines: once as designers, and additionally as green building material developers. In all three case studies, Design for Deconstruction (DfD) strategies were applied in different manners, encouraging architects to further follow such suggested approaches.

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

scholarly journals DEVELOPMENT OF AN INTEGRATED DISCOUNTING STRATEGY BASED ON VENDORS’ EXPECTATIONS USING FAHP AND FUZZY GOAL PROGRAMMING

2017 ◽  
Vol 24 (2) ◽  
pp. 635-652 ◽  
Author(s):  
Irem UCAL SARI
Keyword(s):  
Market Share ◽  
Goal Programming ◽  
Numerical Study ◽  
Fuzzy Goal Programming ◽  
Discount Rates ◽  
Analytic Hierarchy ◽  
Total Profit ◽  
Fuzzy Goal ◽  
Hierarchy Process

The main goal of a company is to increase its market share and total profits at the same time. However, these two objectives conflict if discount rates are applied to vendors. The objective of this paper is to develop an integrated discounting strategy method to effectively manage the trans­actions of the vendors by determining the optimum discount rates which balance the increase on the market share and the total profit. With the proposed methodology which utilizes fuzzy analytic hierarchy process and fuzzy goal programming, determination of the discount rates of each vendor under different discounting strategies is facilitated. This enables the vendors to choose the most suitable discounting strategy with the best applicable discount rate and enables the managers to predict the transactions of the vendors. The proposed method is validated with a numerical study conducted on a pilot region of an international company.

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 An Inventory Model for Deteriorating Items with Stock Dependent Demand and Partial Backlogging

2021 ◽  
Vol 9 (12) ◽  
pp. 296-302
Author(s):  
Vikas Kumar
Keyword(s):  
Waiting Time ◽  
Simple Algorithm ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Partial Backlogging ◽  
Numerical Examples ◽  
Proposed Model ◽  
Stock Dependent Demand ◽  
Total Profit ◽  
Dependent Demand

Abstract: In this paper, we formulate a deteriorating inventory model with stock-dependent demand Moreover, it is assumed that the shortages are allowed and partially backlogged, depending on the length of the waiting time for the next replenishment. The objective is to find the optimal replenishment to maximizing the total profit per unit time. We then provide a simple algorithm to find the optimal replenishment schedule for the proposed model. Finally, we use some numerical examples to illustrate the model. Keywords- Inventory, Deteriorating items, Stock dependent demand, Partial backlogging

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