An Ergonomic Compatibility Perspective on the Selection of Advanced Manufacturing Technology: A Case Study for CNC Vertical Machining Centers

An Ergonomic Compatibility Perspective on the Selection of Advanced Manufacturing Technology: A Case Study for CNC Vertical Machining Centers

Aidé Aracely Maldonado-Macías (Universidad Autónoma de Ciudad Juárez, Mexico), Jorge Luis García-Alcaraz (Universidad Autónoma de Ciudad Juárez, Mexico), Juan Luis Hernández-Arellano (Universidad Autónoma de Ciudad Juárez, Mexico) and Guillermo Cortes-Robles (Instituto Tecnológico de Orizaba, Mexico)
DOI: 10.4018/978-1-5225-0130-5.ch008


Evaluation and Selection of Advanced Manufacturing Technology (AMT) is a complex problem involving multiple attributes difficult to consider in their entirety. The Axiomatic Design Theory have been used successfully to solve this problem. This chapter presents a literature review for applications of Axiomatic Design Theory in decision making and develops an Ergonomic Compatibility Evaluation Perspective case study for the selection of two vertical CNC machining centers. A new Hierarchical Fuzzy Axiomatic Design methodology was used as a decision aid for evaluation of technology in a more complete manner, while considering human factors and ergonomics aspects neglected in actual AMT evaluation and selection models. Methodology for the data analysis is described. A group of three experts was conformed for the case study. 26 articles were organized in a data matrix. The alternative which best meet established Design Ranges in terms of Ergonomic Compatibility was selected among two alternatives, according to the Ergonomic Incompatibility Content (EIC) in a fuzzy environment.
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1. Introduction

Decision making is a matter of every day in all kind of areas in the world and especially in the area of process engineering and optimization of systems. Mostly, making decisions problems involve evaluating and selecting among alternatives that must satisfy multiple requirements and criteria, which may even be contradictory. As alternatives and decision criteria are increased, the difficulty to reach the best decision also increases. Because of this complex problem, research efforts for solutions have been extensive in different disciplines. Multiple and single criteria models have been developed to address decision making problems and according to Kulak et al. (2005), these can be classified as deterministic and non-deterministic and include a wide variety of them. However, a growing and innovative approach offered by Axiomatic Design Theory (AD) has been applied effectively for this purpose.

Table 1 shows the classification of some decision making models.

Table 1.
Decision making models (Kulak et al. 2005)
Single CriterionMultiple Criteria
DeterministicsNon DeterministicsDeterministicsNon Deterministics
Net present value (NPV)Sensibility AnalysisScore and Goal ModelsFuzzy Logic
Internal rate of Return (IRR)Decision TreesAnalytic Hierarchical ProcesExpert System
Cost/Benefit Ratio (C/B)Optimistic/PessimisticDecision Making support systemsUtility Models
Return Period (RP)Montecarlo SimulationProductivity ModelGame Theory Model
Mathematical ProgrammingMultiobjective Mathematical Programming 0-1Intuitionistic Model
Minimal annual revenue requirementDynamic Programming

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