scholarly journals Reusability Evaluation Models In Reverse Logistics

2021 ◽  
Author(s):  
Shahin Kouchekian-Sabour
Keyword(s):  
Reverse Logistics ◽  
Manufacturing System ◽  
Control Policy ◽  
Green Manufacturing ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
Inventory Control Policy ◽  
Decision Making Model ◽  
Second Category ◽  
Hierarchy Process

This study focuses on the problem of reusability evaluation in reverse logistics. To deal with it, products are categorized into two types: well established products, and products with fast innovations. An innovation reliability based model (model 1) is suggested to evaluate reusability of returns for the first category. For the second category, a fuzzy multiple participant-multiple criteria (MPMC) decision making model is presented, which is a modified combination of two previous researches: the disposal cause analysis matrix (Umeda et al., 2005), and the fuzzy analytical hierarchy process (AHP) method (van Laarhoven and Pedrycz, 1983). To present the application of model 1, a green manufacturing system with an (s, Q) inventory control policy is simulated using Arena. With the aid of it, the system is analyzed in two situations: with recovery operations, and without recovery operations to investigate the effects of both model 1 and recovery operations on the system parameters.

scholarly journals Reusability Evaluation Models In Reverse Logistics

2021 ◽  
Author(s):  
Shahin Kouchekian-Sabour
Keyword(s):  
Reverse Logistics ◽  
Manufacturing System ◽  
Control Policy ◽  
Green Manufacturing ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
Inventory Control Policy ◽  
Decision Making Model ◽  
Second Category ◽  
Hierarchy Process

This study focuses on the problem of reusability evaluation in reverse logistics. To deal with it, products are categorized into two types: well established products, and products with fast innovations. An innovation reliability based model (model 1) is suggested to evaluate reusability of returns for the first category. For the second category, a fuzzy multiple participant-multiple criteria (MPMC) decision making model is presented, which is a modified combination of two previous researches: the disposal cause analysis matrix (Umeda et al., 2005), and the fuzzy analytical hierarchy process (AHP) method (van Laarhoven and Pedrycz, 1983). To present the application of model 1, a green manufacturing system with an (s, Q) inventory control policy is simulated using Arena. With the aid of it, the system is analyzed in two situations: with recovery operations, and without recovery operations to investigate the effects of both model 1 and recovery operations on the system parameters.

EVALUATION OF THE POTENTIAL HAZARDS OF SHIP-GENERATED WASTE IN MARITIME INDUSTRY USING A TYPE-2 FUZZY ANALYTICAL HIERARCHY PROCESS

2021 ◽  
Vol 162 (A3) ◽  
Author(s):  
E Celik ◽  
O Soner ◽  
E Akyuz ◽  
O Arslan
Keyword(s):  
Maritime Industry ◽  
Fuzzy Analytical Hierarchy Process ◽  
Negative Effects ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Port Facilities ◽  
Interval Type ◽  
Hierarchy Process ◽  
Marine Environmental

Ships create a large amount of pollutions to marine and coastal environment where its pollutants have negative effects to human and maritime habitat. Depending on the nature of ship-generated waste, rules and regulations determine discharging procedures. This paper focuses on evaluating of potential hazards of ship-generated wastes on the environment whether it may be discharged into the sea or disposed of on port facilities. Thus, marine and costal environmental effects can be discussed analytically to improve human and ecological health. To achieve this purpose, analytic hierarchy process (AHP) extended with interval type-2 fuzzy sets (IT2FSs) is used. While AHP method is used for prioritizing the potential ship- generated waste, the IT2FSs deal with uncertainty and vagueness in the process of obtaining expert decision. Beside assessment of the environmental impacts, the paper contributes to enhance coastal and marine environmental awareness with respect to the ship-generated waste.

scholarly journals Risk Identification and Assessment in PPP Infrastructure Projects using Fuzzy Analytical Hierarchy Process and Life-Cycle Methodology

2012 ◽  
Vol 8 (1) ◽  
pp. 34-48 ◽  
Author(s):  
Jie Li ◽  
Patrick Zou
Keyword(s):  
Life Cycle ◽  
Fuzzy Ahp ◽  
Risk Identification ◽  
Infrastructure Projects ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
The Public ◽  
Project Life Cycle ◽  
Project Life ◽  
Hierarchy Process

To fulfil the increasing demands of the public,Public Private Partnership (PPP) has beenincreasingly used to procure infrastructureprojects, such as motor ways, bridges, tunnelsand railways. However, the risks involved inPPP projects are unique and dynamic due tolarge amount of investment and longconcession period. This paper aims to developa risk identification framework from theperspectives of project life cycle, and anassessment framework for risks associatedwith PPP project using fuzzy analyticalhierarchy process (AHP). First the paperreviews the current literature to identifycommon risks in PPP infrastructure projectsand classification methods used. The risksidentified from the literature were classifiedusing project life cycle perspectives. Followingthat, the paper presents the advantages offuzzy AHP. Furthermore, the paper provides aframework for assessment of risks in PPPprojects followed by an illustrative examplewhere the data was obtained from surveyquestionnaires. The paper concludes that risksassociated in PPP infrastructure projects areunique and therefore it is beneficial to classifythem from project life cycle perspectives, andthe proposed fuzzy AHP method is suitable forthe assessment of these risks.

Triple bottom line performance evaluation of reverse logistics

2016 ◽  
Vol 26 (3) ◽  
pp. 289-310 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kr Singh ◽  
Qasim Murtaza
Keyword(s):  
Performance Evaluation ◽  
Performance Measures ◽  
Analytical Hierarchy Process ◽  
Reverse Logistics ◽  
Triple Bottom Line ◽  
Fuzzy Analytical Hierarchy Process ◽  
Bottom Line ◽  
Content Type ◽  
Performance Indexes ◽  
Hierarchy Process

Purpose The paper aims to incorporate the relationship of reverse logistics into the economic, environmental, and social sustainability, known as triple bottom line and developed a framework for reverse logistics performance evaluation. Design/methodology/approach The performance measures, based on triple bottom line approach, were selected, and fuzzy analytical hierarchy process and extent analysis approach was applied for estimating the weights, global weights of performance measures and hence, the reverse logistics performance index. Reverse logistics performance of three electronic companies were evaluated and compared for the demonstration of the methodology. Findings The results show that economic performance has highest performance index followed by environmental performance and social performance. “Recapturing value” and “return on investment” from economic, “minimum energy consumption” and “optimum use of raw material” from environmental and “community complaints” and “customer health and safety” from social perspective have higher performance indexes. Over all, “reduced packaging”, “use of recycled material” and “employee benefits” show very poor performance indexes. Research Limitations/implications The study will provide useful guidance to the academicians and practitioners for evaluating, improving and benchmarking the reverse logistics performance. Originality/value The analysis adds to the very few studies on triple bottom line aspects of reverse logistics and its performance evaluation. Also, fuzzy analytical hierarchy process and extent analysis is used first time being an efficient tool to tackle the fuzziness of the data involved in performance evaluation.

Multi-Criteria Decision-Making and its Analysis for Machining Process of Mine Fans Impellers

2012 ◽  
Vol 522 ◽  
pp. 103-109
Author(s):  
Ai Jun Liu ◽  
De Shun Liu ◽  
Wen Hui Yue
Keyword(s):  
Decision Making ◽  
Green Manufacturing ◽  
Indicator System ◽  
Machining Process ◽  
Analytic Hierarchy ◽  
Process Route ◽  
Aluminum Ingot ◽  
Decision Making Model ◽  
Hierarchy Process

Green manufacturing is a new model to solve current environmental problems in manufacturing, and the process route determination of the product machining process is one of the key problems. According to the existing machining process and equipment of mine fans impellers, analytic hierarchy process (AHP) is used to assist in building the optimized decision-making model and multi-criteria assessment indicator system and help draw decision. It is concluded that processing technology route of using steel plate stamped is better than that of using aluminum ingot cast for mine fan impellers. The decision coincides with fan impellers actual production.

scholarly journals Reverse and Green Logistics Cost Simulation Using Analytical Hierarchy Process

2020 ◽  
Vol 11 (3) ◽  
pp. 46-58
Author(s):  
Mohammad Annas ◽  
Trihadi Pudiawan Erhan ◽  
Suhendar Sulaeman
Keyword(s):  
Analytical Hierarchy Process ◽  
Reverse Logistics ◽  
Consumer Satisfaction ◽  
Decision Makers ◽  
Ahp Method ◽  
Logistics Distribution ◽  
Product Delivery ◽  
Hierarchy Process ◽  
Setting Parameters ◽  
Modern Retailers

AbstractThe research aims to measure the effectiveness of the strategies of modern retailers which implementing reverse logistics activities, and to be believe that it could increase not only business competition, but also consumer satisfaction. The object of research is 20 modern retailers ranging from convenience stores to hypermarket stores. The methodology implemented in the form of setting parameters and assessment criteria which are arranged in the form of priority scale and analyzed using the Analytical Hierarchy Process or AHP method. The respondents are the decision makers in terms of product delivery, logistics, distribution and warehouse including making purchases both directly and indirectly. Sub parameters and sub criteria that are arranged then reevaluated using the ExpertChoice instrument to see the resulting scale consistency. Broadly speaking, the highest priority scale was 0.441 for the criteria for agility, 0.428 for the efficiency criteria, 0.318 for the stakeholder criteria, 0.271 for the process criteria and 0.146 for the environment criteria. The result of simulation cost is less than 8 percent of the profit margin per product returned.

scholarly journals A dual factor decision making model in green manufacturing

2021 ◽  
Author(s):  
Bahador Jamshidy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Product Information ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Product Recovery ◽  
Market Demand ◽  
Decision Making Model ◽  
Second Category ◽  
The Impact

This study focuses on the evaluation of different methods of product recovery for GM. The evaluation is conducted through the application of a decision making model. The model evaluates product recovery options on the basis of two categories: optimization of objective factors and market demand. The first category in the model focuses on optimization of five objective factors, including environmental impact (E), cost (C), quality (Q), resource consumption (R), and time (T). Goal programming is used to solve the optimization problem. The goal programming is supported by the construction of a decision making tree with three branches: remanufacturing, refurbishing, and current manufacturing. The solution of the decision tree helps determine the best method of product recovery for GM. The second category in the model focuses on the evaluation of market demand. This further supports the selection of the best method for product recovery. To evaluate market demand, a Bayesian forecasting model is used in the construction of a decision making tree. The study shows that the availably of products information including the objective factors and market demand, has a positive impact on making product recovery decisions. It also shows how recovery decisions can be modeled in decision making tress to represent the impact of product information on those decisions.

scholarly journals ANALYSIS OF BUSINESS STRATEGY DECISION MAKING IN INCREASING SALES OF WAROENG STEAK AND SHAKE BANDAR LAMPUNG

2020 ◽  
Vol 4 (03) ◽  
Author(s):  
M. Oktaviannur ◽  
Appin Purisky Redaputri ◽  
Meyta Ayunara ◽  
Hendri Dunan ◽  
Heylin Idelia Jayasinga
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Descriptive Analysis ◽  
Analysis Method ◽  
Ahp Method ◽  
Internal Factors ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
The City ◽  
System Methodology

The high competition in the steak restaurant business in the city of Bandar Lampung has an impact on the management of Waroeng Steak and Shake so that the income received fluctuates every month, this makes researchers aim to find out what alternative strategies are appropriate for Waroeng Steak and Shake and which strategies are become a priority for Waroeng Steak and Shake, Gatot Subroto Bandar Lampung Branch. This researcher uses descriptive analysis method and uses the Soft System Methodology (SSM) method and the Annalitical hierarchy Process (AHP) method. The results of this study indicate that there are five sub-criteria internal factors and external factors there are three sub-criteria. The results of the decision making model using AHP show that Goal in Waroeng Steak and Shake increases sales with the first priority strategy by creating more modern service changes in, developing new types of food, promoting via billboards and promoting word of mouth.modern in, developing types of food new, promotions via billboards and word of mouth promotions. Keywords: Business Strategy, Analytical Hierarchy Process (AHP), Decision Making

scholarly journals Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Mochammad Sobandi Dwi Putra ◽  
Septi Andryana ◽  
Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
Ahp Model ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942.

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