scholarly journals A Decision-Support Model for Additive Manufacturing Scheduling Using an Integrative Analytic Hierarchy Process and Multi-Objective Optimization

2020 ◽  
Vol 10 (15) ◽  
pp. 5159
Author(s):  
Kasin Ransikarbum ◽  
Rapeepan Pitakaso ◽  
Namhun Kim
Keyword(s):  
Decision Support ◽  
Additive Manufacturing ◽  
Analytic Hierarchy Process ◽  
Supply Chain Design ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Trade Offs ◽  
Hierarchy Process

Additive manufacturing (AM) became widespread through several organizations due to its benefits in providing design freedom, inventory improvement, cost reduction, and supply chain design. Process planning in AM involving various AM technologies is also complicated and scarce. Thus, this study proposed a decision-support tool that integrates production and distribution planning in AM involving material extrusion (ME), stereolithography (SLA), and selective laser sintering (SLS). A multi-objective optimization approach was used to schedule component batches to a network of AM printers. Next, the analytic hierarchy process (AHP) technique was used to analyze trade-offs among conflicting criteria. The developed model was then demonstrated in a decision-support system environment to enhance practitioners’ applications. Then, the developed model was verified through a case study using automotive and healthcare parts. Finally, an experimental design was conducted to evaluate the complexity of the model and computation time by varying the number of parts, printer types, and distribution locations.

scholarly journals Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2426 ◽  
Author(s):  
Bo Yu ◽  
Shuai Wu ◽  
Zongxia Jiao ◽  
Yaoxing Shang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Consumption ◽  
Analytic Hierarchy Process ◽  
Optimization Design ◽  
Pareto Front ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Hierarchy Process

During the last few years, the concept of more-electric aircraft has been pushed ahead by industry and academics. For a more-electric actuation system, the electrohydrostatic actuator (EHA) has shown its potential for better reliability, low maintenance cost and reducing aircraft weight. Designing an EHA for aviation applications is a hard task, which should balance several inconsistent objectives simultaneously, such as weight, stiffness and power consumption. This work presents a method to obtain the optimal EHA, which combines multi-objective optimization with a synthetic decision method, that is, a multi-objective optimization design method, that can combine designers’ preferences and experiences. The evaluation model of an EHA in terms of weight, stiffness and power consumption is studied in the first section. Then, a multi-objective particle swarm optimization (MOPSO) algorithm is introduced to obtain the Pareto front, and an analytic hierarchy process (AHP) is applied to help find the optimal design in the Pareto front. A demo of an EHA design illustrates the feasibility of the proposed method.

scholarly journals إستعمال إسلوب تعدد الأهداف الأمثل وفقاً للتحليل النسبي مع تطبيق عملي

2020 ◽  
Vol 26 (122) ◽  
pp. 412-421
Author(s):  
Mohamed Naji Razooqee ◽  
Marwan Abdul Hameed Ashour
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Composite Score ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

يهدف البحث الى حل مشكلة إختيار المشروع المناسب من عدة مشاريع خدمية لمؤسسة الشهداء العراقية أو ترتيبها حسب الافضلية ضمن المعايير المستهدفة من قبل متخذ القرار، يتم  ذلك عن طريق إستعمال احدى الطرق الكمية في اتخاد القرارات متعددة الأهداف (Multi Criteria Decision  Making)  ((MCDM الا وهي طريقة التحسين متعدد الأهداف حسب التحليل النسبي (Multi Objective Optimization by Ratios Analysis) ((MOORA لقياس الدرجة المركبة (composite score) للأداء  الذي يحصل عليه كل بديل وأقصى فائدة تعود على الجهة المستفيدة وحسب المعايير واوزانها التي يتم حسابها عن طريق عملية التسلسل الهرمي التحليلي (Analytic Hierarchy Process) ((AHP ، اهم النتائج التي توصل اليها البحث وبالأعتماد على رأي الخبراء هي إختيار المشروع الثاني كأفضل بديل وعمل ترتيب (Ranking) حسب الأداء والدرجة المركبة التي حصل عليها كل بديل ، كما توصل الباحثون الى امكانية تطبيق النموذج لحل مختلف مشاكل (MCDM) وخاصة في الحالات التي تكون فيها المعايير متضاربة في مزيد من البحوث.

scholarly journals Selection of softwood species for structural and non-structural timber construction by using the analytic hierarchy process (AHP) and the multi-objective optimization on the basis of ratio analysis (MOORA)

2019 ◽  
Vol 25 (2) ◽  
pp. 281-288
Author(s):  
Şükrü Özşahin ◽  
Hilal Singer ◽  
Ali Temiz ◽  
İbrahim Yıldırım
Keyword(s):  
Analytic Hierarchy Process ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Larix Occidentalis ◽  
Western Larch ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Structural Applications ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

In this study, the hybrid approach of the analytic hierarchy process (AHP) and the multi-objective optimization on the basis of ratio analysis (MOORA) was used in order to select the most suitable softwood timber for constraction. Douglas fir (Pseudotsuga menziesii), Lodgepole pine (Pinus concorta), Red pine (Pinus resinosa), Redwood (Sequoia sempervirens), Engelmann spruce (Picea engelmannii), Eastern hemlock (Tsuga canadensis), Western larch (Larix occidentalis) and Western redcedar (Thuja plicata) were evaluated in terms of economic, physical, mechanical, thermal and durability properties. According to the results, the most suitable timbers for structural and non-structural applications were determined western larch and redwood, respectively.

Application of Deng’s similarity-based analytic hierarchy process approach in parametric optimization of the electrical discharge machining process of SDK11 die steel

2020 ◽  
Vol 44 (2) ◽  
pp. 294-310
Author(s):  
Duc-Nguyen Van ◽  
Bong-Pham Van ◽  
Phan-Nguyen Huu
Keyword(s):  
Analytic Hierarchy Process ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Hybrid Technique ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Pulse On Time ◽  
Hierarchy Process

This study presents a hybrid Taguchi – analytic hierarchy process (AHP) – Deng’s similarity-based method for the multi-objective optimization of the electrical discharge machining process of SKD11. Among many parameters, the four most important parameters including current, voltage, pulse-on time, and pulse-off time are considered as control factors. The four quality characteristics including material removal rate, tool wear rate, surface roughness, hardness of machined surface, and white layer thickness were considered for simultaneous optimization. The hybrid Taguchi – AHP – Deng’s similarity-based multi-objective optimization was compared with several other methods to evaluate the effectiveness of this hybrid technique. The results show that the Taguchi – AHP – Deng’s similarity-based method is a good alternative to solve multi-objective optimization problems.

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