Dynamic Disassembly Planning for Remanufacturing of Multiple Types of Products

2010 ◽  
Author(s):  
Changmuk Kang ◽  
Yoo S. Hong
Keyword(s):  
Linear Programming ◽  
End Of Life ◽  
Programming Model ◽  
Cost Minimization ◽  
New Products ◽  
Variable Level ◽  
Proposed Model ◽  
Return Flows ◽  
Disassembly Plan ◽  
Disassembly Planning

With the increased need for remanufacturing of end-of-life products, achieving economic efficiency in remanufacturing is urgently needed. The purpose of this study was to devise a cost-minimization plan for disassembly and remanufacturing of end-of-life products returned by consumers. A returned end-of-life product is disassembled into remanufacturable parts, which are supposed to be used for new products after being remanufactured. Each end-of-life product is disassembled into parts at variable levels as needed, taking into account not only disassembly but also manufacturing, remanufacturing, and holding inventory of remanufacturable parts. This study proposes a linear programming model for derivation of the optimal disassembly plan for each returned product, under deterministically known demand and return flows. For the purposes of an illustrative example, the proposed model was applied to the formulation of an optimal disassembly and remanufacturing plan of ‘Fuser Assembly’ of laser printers. The solution reveals that variable-level disassembly of products saves a significant remanufacturing cost compared with full disassembly.

scholarly journals Priority Scheduling in the Planning of Multiple-Structure Construction Projects

2017 ◽  
Vol 63 (4) ◽  
pp. 21-33 ◽  
Author(s):  
E. Radziszewska-Zielina ◽  
B. Sroka
Keyword(s):  
Linear Programming ◽  
Computer Program ◽  
Construction Projects ◽  
Programming Model ◽  
Construction Site ◽  
Priority Scheduling ◽  
Ranking List ◽  
Multiple Structure ◽  
Proposed Model ◽  
Interactive Scheduling

AbstractThe paper presents a method of priority scheduling that is useful during the planning of multiple-structure construction projects. This approach is an extension of the concept of interactive scheduling. In priority scheduling, it is the planner that can determine how important each of the technological and organisational constraints are to them. A planner’s preferences can be defined through developing a ranking list that defines which constraints are the most important, and those whose completion can come second. The planner will be able to model the constraints that appear at a construction site more flexibly. The article presents a general linear programming model of the planning of multiple-structure construction projects, as well as various values of each of the parameters that allow us to obtain different planning effects. The proposed model has been implemented in a computer program and its effectiveness has been presented on a calculation example.

scholarly journals PEMROGRAMAN LINEAR INTEGER DENGAN ENAM VARIABEL ORIENTASI KARGO UNTUK MASALAH MINIMISASI BIAYA PEMUATAN MULTI-KONTAINER

2020 ◽  
Vol 15 (3) ◽  
pp. 162-168
Author(s):  
Dian Pratiwi Sahar ◽  
Mohammad Thezar Afifudin
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Programming Model ◽  
Cost Minimization ◽  
Mathematic Model ◽  
Transport Cost ◽  
Container Loading ◽  
Volume Load ◽  
Cost Minimization Problem ◽  
The Given

Penelitian ini bertujuan untuk mengembangkan model matematika untuk masalah minimisasi biaya pemuatan multi-kontainer dengan enam variabel orientasi kargo. Masalah ini dirumuskan sebagai model pemrograman linier biner integer untuk meminimalkan biaya. Faktor-faktor yang dipertimbangkan dalam formulasi termasuk alokasi kargo, lokasi kargo, hubungan kargo, dan orientasi kargo. Sedangkan, biaya yang dipertimbangkan termasuk biaya muatan volume kontainer ke kargo dan biaya transportasi kargo ke kontainer. Validasi model dilakukan melalui percobaan numerik pada ukuran kecil kargo dan kontainer. Hasil penelitian menunjukkan bahwa model dengan konsep orientasi kargo yang dikembangkan dapat menyelesaikan masalah sesuai dengan parameter numerik yang diberikan. Abstract[Integer Linear Programming with Six Cargo Orientation Variables for Multi-Container Loading Cost Minimization Problem] This research aims to develop the mathematic model for multi-container loading cost minimization problems with six cargo orientation variables. The problem is formulated as a binary integer linear programming model to minimize costs. The factors considered in the formulation include cargo allocation, cargo location, cargo relations, and cargo orientation. Whereas, the costs considered include the container volume load cost to cargo and the cargo transport cost to the container. Model validation is performed through numerical experiments on the small size of cargo and containers. The results show that the model with developed cargo orientation concept can solve the problem according to the given numerical parameters.Keywords: integer programming; cargo orientation; container loading; cost minimization

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.

scholarly journals Multiobjective Mathematical Programming Model for the Optimization of End-of-Life Buildings’ Deconstruction and Demolition Processes

2019 ◽  
Vol 11 (5) ◽  
pp. 1426 ◽  
Author(s):  
Dimitrios Aidonis
Keyword(s):  
End Of Life ◽  
Programming Model ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Environmental Criteria ◽  
Proposed Model ◽  
Weighted Optimization ◽  
Multiobjective Mathematical Programming ◽  
Decision Making Model ◽  
Selection Of

Nowadays, construction and demolition waste management has become a critical process for the construction industry, as the specific waste stream poses important environmental issues and challenges. In the case of dismantling end-of-life buildings, the selection of the appropriate technique between deconstruction and conventional demolition is a critical decision affecting the total volume and type of produced waste. Toward this effect, in this paper, a novel decision-making model for the optimization of end-of-life buildings’ deconstruction and demolition processes is proposed. The objective of the proposed model is the simultaneous and weighted optimization of the total cost and time for the completion of the deconstruction and demolition processes, taking into consideration economic, legislative, and environmental criteria. Finally, a demonstration of the application of the proposed model is presented via two specific case studies and by discussing a few interesting managerial insights.

Optimizing Supply and Demand in Coal Logistics Networks

2014 ◽  
Vol 587-589 ◽  
pp. 2007-2013
Author(s):  
Xiao Jun Guan ◽  
Xi Fu Wang ◽  
Hao Kun Fan ◽  
Wan Jing Wu
Keyword(s):  
Linear Programming ◽  
Optimization Problem ◽  
Programming Model ◽  
Supply And Demand ◽  
Actual Situation ◽  
Capacity Limits ◽  
Logistics Networks ◽  
South West ◽  
Proposed Model ◽  
Programming Software

China has a "North coal to south, West coal to east" overall pattern of coal transportation. This paper focuses on how to optimize the distribution of supply and demand, which can effectively reduce the total transportation costs. In order to study the optimization problem, we build a linear programming model, and solve it through commonly used mathematical programming software CPLEX. Then, taking Shanxi as an example, the proposed model was verified. By introducing supply point capacity limits, make our model more adaptable to the actual situation.

A flexible mathematical model for crew pairing optimization to generate n-day pairings considering the risk of COVID-19: a real case study

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahareh Shafipour-Omrani ◽  
Alireza Rashidi Komijan ◽  
Seyed Jafar Sadjadi ◽  
Kaveh Khalili-Damghani ◽  
Vahidreza Ghezavati
Keyword(s):  
Genetic Algorithm ◽  
Programming Model ◽  
Cost Minimization ◽  
Crew Scheduling ◽  
Mixed Integer ◽  
Medium Size ◽  
Content Type ◽  
Solution Approach ◽  
Proposed Model ◽  
Crew Pairing

PurposeOne of the main advantages of the proposed model is that it is flexible to generate n-day pairings simultaneously. It means that, despite previous researches, one-day to n-day pairings can be generated in a single model. The flexibility in generating parings causes that the proposed model leads to better solutions compared to existing models. Another advantage of the model is minimizing the risk of COVID-19 by limitation of daily flights as well as elapsed time minimization. As airports are among high risk places in COVID-19 pandemic, minimization of infection risk is considered in this model for the first time. Genetic algorithm is used as the solution approach, and its efficiency is compared to GAMS in small and medium-size problems.Design/methodology/approachOne of the most complex issues in airlines is crew scheduling problem which is divided into two subproblems: crew pairing problem (CPP) and crew rostering problem (CRP). Generating crew pairings is a tremendous and exhausting task as millions of pairings may be generated for an airline. Moreover, crew cost has the largest share in total cost of airlines after fuel cost. As a result, crew scheduling with the aim of cost minimization is one of the most important issues in airlines. In this paper, a new bi-objective mixed integer programming model is proposed to generate pairings in such a way that deadhead cost, crew cost and the risk of COVID-19 are minimized.FindingsThe proposed model is applied for domestic flights of Iran Air airline. The results of the study indicate that genetic algorithm solutions have only 0.414 and 0.380 gap on average to optimum values of the first and the second objective functions, respectively. Due to the flexibility of the proposed model, it improves solutions resulted from existing models with fixed-duty pairings. Crew cost is decreased by 12.82, 24.72, 4.05 and 14.86% compared to one-duty to four-duty models. In detail, crew salary is improved by 12.85, 24.64, 4.07 and 14.91% and deadhead cost is decreased by 11.87, 26.98, 3.27, and 13.35% compared to one-duty to four-duty models, respectively.Originality/valueThe authors confirm that it is an original paper, has not been published elsewhere and is not currently under consideration of any other journal.

Linear Programming Model for Production Cost Minimization at a Rice Crop Products Manufacturer

2021 ◽  
pp. 335-346
Author(s):  
Jairo R. Coronado-Hernández ◽  
Leonardo J. Olarte-Jiménez ◽  
Zulmeira Herrera-Fontalvo ◽  
Johana Cómbita Niño
Keyword(s):  
Linear Programming ◽  
Production Cost ◽  
Programming Model ◽  
Cost Minimization ◽  
Rice Crop ◽  
Linear Programming Model
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