A Sustainable Manufacturing Strategy from Different Strategic Responses under Uncertainty

This paper presents a decision framework that highlights the integration of manufacturing strategy (MS) and sustainability along with strategic responses as a significant component. This integration raises complexity and uncertainty in decision-making following the number of subjective components with their inherent relationships that must be brought into context and the huge amount of required information in eliciting judgments. Thus, a proposed hybrid multicriteria decision-making (MCDM) approach in the form of an integrated probabilistic fuzzy analytic network process (PROFUZANP) is adopted in this work. In this method, analytic network process (ANP) serves as the main framework in identifying policy options of manufacturing strategy. Fuzzy set theory (FST) is used to describe vagueness in decision-making which is carried out by eliciting judgments in pairwise comparisons using linguistic variables with corresponding triangular fuzzy numbers (TFNs). Probability theory is used to handle randomness in aggregating judgments of multiple decision-makers. Results show that a stakeholder-oriented approach is considered the most relevant strategic response in developing a sustainable manufacturing strategy. The contribution of this work lies in identifying the policies which constitute a sustainable manufacturing strategy using an integrated MCDM approach under uncertainty.

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Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2015040102 ◽

2015 ◽

Vol 6 (2) ◽

pp. 12-27 ◽

Cited By ~ 3

Author(s):

Lanndon Ocampo ◽

Eppie Clark ◽

Kae Vines Tanudtanud

Keyword(s):

Decision Making ◽

Supply Chain ◽

Sustainable Manufacturing ◽

Analytic Network Process ◽

Linguistic Variables ◽

Sustainable Supply Chain ◽

Manufacturing Strategy ◽

Network Process ◽

Fuzzy Analytic Network Process ◽

Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

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A Simulation-Based Fuzzy Analytic Network Process Approach in Developing Sustainable Manufacturing Strategy

Management and Production Engineering Review ◽

10.1515/mper-2015-0014 ◽

2015 ◽

Vol 6 (2) ◽

pp. 32-39 ◽

Cited By ~ 1

Author(s):

Lanndon Ocampo ◽

Eppie Clark

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Decision Model ◽

Group Decision ◽

Methodological Approach ◽

Sustainable Manufacturing ◽

Analytic Network Process ◽

Manufacturing Strategy ◽

Network Process ◽

Fuzzy Analytic Network Process

Abstract This paper adopts a probabilistic fuzzy analytic network process (PROFUZANP) approach in developing a sustainable manufacturing strategy. In this hybrid method, analytic network process handles the complexity of the problem structure under consideration, fuzzy set theory is used to describe vagueness in individual decision-making and probability theory is used to handle randomness in group decision-making. This holistic methodological approach addresses complexity and uncertainty both in individual and group decision-making which is useful in modeling group decisions such as developing a sustainable manufacturing strategy. In this work, an inclusive approach of integrating traditional manufacturing strategy concepts and sustainable manufacturing principles is proposed as a unifying decision model. The proposed decision structure adopts the hierarchical structure of manufacturing strategy and explores the presence of strategic responses and stakeholders’ interests as significant components of sustainability. Using PROFUZANP, the decision model identifies the content policies of sustainable manufacturing strategy. This content strategy is expected to address both competitiveness and sustainability of manufacturing firms. Results are reported in this paper along with insights and future work. The contribution of this work is the integration of manufacturing strategy and sustainability into a coherent decision framework that requires the use of PROFUZANP in dealing with complex and uncertain group decision-making problem.

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The Impact of Firm Size in the Formulation of Sustainable Manufacturing Strategy Infrastructural Decisions Under Uncertainty

International Journal of Manufacturing Materials and Mechanical Engineering ◽

10.4018/ijmmme.2017040101 ◽

2017 ◽

Vol 7 (2) ◽

pp. 1-18

Author(s):

Lanndon Ocampo

Keyword(s):

Firm Size ◽

Sustainable Manufacturing ◽

Pairwise Comparison ◽

Analytic Network Process ◽

Manufacturing Strategy ◽

Triangular Fuzzy Numbers ◽

Domain Experts ◽

Decision Making Problem ◽

Network Process ◽

The Impact

This paper adopts a fuzzy analytic network process approach in identifying the impact of the presence of firm size on the content of the manufacturing strategy infrastructural decisions that integrates the classical manufacturing strategy framework and the notion of sustainability. Linguistic variables with equivalent triangular fuzzy numbers were used to elucidate judgment of elements in pairwise comparison matrices within the context of the analytic network process. Analytic network process effectively handles the complexity of the decision-making problem resulting from the subjectivity and interrelationships inherent among decision components. Domain experts in manufacturing strategy and sustainability were asked to elicit judgment in pairwise comparisons. Results show that the content of the infrastructural decisions of manufacturing strategy remains constant regardless of the presences of firm size component. However, the priority of each decision to the goal which can be translated as the priority of implementation of each policy varies with the presence of firm size.

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Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

Mathematical Problems in Engineering ◽

10.1155/2020/2156023 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Jinyu Li ◽

Asif Ullah ◽

Jun Li ◽

Shah Nazir ◽

Habib Ullah Khan ◽

...

Keyword(s):

Decision Making ◽

Selection Process ◽

Multicriteria Decision Making ◽

Requirement Engineering ◽

Analytic Network Process ◽

Software Project ◽

Requirement Elicitation ◽

Network Process ◽

Decision Making Processes ◽

Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

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Matrix of pairwise comparison: decision making with the analytic network process

E3S Web of Conferences ◽

10.1051/e3sconf/201911002042 ◽

2019 ◽

Vol 110 ◽

pp. 02042

Author(s):

Aliya Akhmadullina ◽

Svetlana Vasilyeva ◽

Tatyana Yakovleva ◽

Svetlana Vopiyashina ◽

Raisa Kraineva

Keyword(s):

Decision Making ◽

Environmental Planning ◽

Pairwise Comparison ◽

Multicriteria Decision Making ◽

Analytic Network Process ◽

Analytic Hierarchy ◽

Pairwise Comparison Matrix ◽

Network Process ◽

Qualitative Factors ◽

The Right

This article describes a method for analyzing hierarchies; identifies the problems with inconsistent judgments. The proof is given that the most effective tool allowing one to make the right decisions with inconsistencies is the introduction of the eigenvector on environmental planning and management. The Analytic Hierarchy Process (AHP) is a method for decision making, which includes qualitative factors. In this method, ratio scales are obtained from ordinal scales, which are derived from individual judgments for qualitative factors using the pairwise comparison matrix. This paper describes the applicability of a multicriteria decision-making method, specifically, the analytic network process.

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Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i8.112 ◽

2018 ◽

Vol 6 (8) ◽

pp. 6

Author(s):

Mahmoud Modiri ◽

Mohammad Dashti

Keyword(s):

Decision Making ◽

Analytic Network Process ◽

Decision Makers ◽

Strategic Decision ◽

Multi Criteria Decision Making ◽

Service Support ◽

Proposed Model ◽

Network Process ◽

Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

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Application of Mixed Multicriteria Decision-making Methods to Determine the Optimal Development Industries for the Taoyuan Aerotropolis, Taiwan

International Regional Science Review ◽

10.1177/0160017619849617 ◽

2019 ◽

Vol 43 (4) ◽

pp. 370-396

Author(s):

Chih-Yuan Chang ◽

Yin-Hao Chiu ◽

Jung-Wei Wang

Keyword(s):

Decision Making ◽

Industrial Development ◽

Multicriteria Decision Making ◽

Analytic Network Process ◽

Aviation Industry ◽

Multicriteria Decision ◽

Fuzzy Delphi ◽

Network Process ◽

The Government ◽

Satisfaction Evaluation

The study explored both the development policy of regional industry and the aerotropolis as an empirical object. In planning an aerotropolis, governments should account for both regional and industrial characteristics to establish appropriate policies for promoting industrial development that maximizes the benefits of invested resources. In this study, a composite multicriteria decision-making method was used to filter the optimal aerotropolis industry evaluation index through the fuzzy Delphi method. Subsequently, the decision-making trial and evaluation laboratory–based analytic network process was used to obtain the influence relations and weights between the indexes to establish an optimal industry plan. Satisfaction evaluation was then used to calculate the performance values of the programs and discover the optimal industries for the city to provide the government with a policy reference. This study found that the technical environment, product and industry networks, and basic environment were the most important aspects of the Taoyuan Aerotropolis. Aviation linkage and logistics services had the highest performance among industries, identifying them as the most suitable supplementary developments to the aviation industry.

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Use of a Combination of MRSS-ANP for Making an Innovative Landfill Siting Decision Model

Mathematical Problems in Engineering ◽

10.1155/2015/381926 ◽

2015 ◽

Vol 2015 ◽

pp. 1-13 ◽

Cited By ~ 7

Author(s):

Mohammad K. Younes ◽

N. E. Ahmad Basri ◽

Z. M. Nopiah ◽

H. Basri ◽

Mohammed F. M. Abushammala

Keyword(s):

Multicriteria Decision Making ◽

Analytic Network Process ◽

Influential Factors ◽

Decision Makers ◽

Landfill Siting ◽

Promising Tool ◽

Extensive Evaluation ◽

Decision Making Problem ◽

Network Process ◽

Operational Criteria

Landfill siting is a complex, multicriteria decision-making problem that needs an extensive evaluation of environmental, social, land use, and operational criteria. Integration of a median ranked sample set (MRSS) and an analytic network process (ANP) has been implemented to rank the associated criteria and select a suitable landfill site. It minimizes the uncertainty and the subjectivity of human judgments. Four groups of experts with different backgrounds participated in this study, and each group contained four experts. The respondent preferences were ranked in a 4-by-4 matrix to obtain the judgment sets for the MRSS. These sets were subsequently analyzed using ANP to obtain the priorities in the landfill siting criteria. The results show that land topology and distance from surface water are the most influential factors, with priorities of 0.18 and 0.17, respectively. The proposed integrated model may become a promising tool for the environmental planners and decision makers.

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