A Selection Approach for Optimized Problem‐Solving Process by Grey Relational Utility Model and Multicriteria Decision Analysis

Abstract

In business enterprises, especially the manufacturing industry, various problem situations may occur during the production process. A situation denotes an evaluation point to determine the status of a production process. A problem may occur if there is a discrepancy between the actual situation and the desired one. Thus, a problem-solving process is often initiated to achieve the desired situation. In the process, how to determine an action need to be taken to resolve the situation becomes an important issue. Therefore, this work uses a selection approach for optimized problem-solving process to assist workers in taking a reasonable action. A grey relational utility model and a multicriteria decision analysis are used to determine the optimal selection order of candidate actions. The selection order is presented to the worker as an adaptive recommended solution. The worker chooses a reasonable problem-solving action based on the selection order. This work uses a high-tech company’s knowledge base log as the analysis data. Experimental results demonstrate that the proposed selection approach is effective.

ELECTRE: A comprehensive literature review on methodologies and applications

“…A-12 of product design Ranking of alternative parts for a rotor spinning machine EIII P AHP Ke and Wu (2012) Choosing a response to problems in a manufacturing process EI RD GRA Kim et al (2010) Ranking design alternatives for ADSL technologies EII P PRM II and three other ranking methods Koensgen et al (2013) Selecting a vehicle suspension system design EI P McCahon et al (1983) Comparing system availability estimators EI P DOM, SAW, TPS, LA, ML Ranking of gear material alternatives EIII P ENT Comparing (2012) Assigning priorities to activities within a construction project ETRI-C P RSP Selecting a transportation investment project EI NCD Gomes (1989) Ranking of urban transportation system EII P TODIM…”

Building a Smart E-Portfolio Platform for Optimal E-Learning Objects Acquisition

“…A selection approach has been proposed for optimized web services compositions based on an ELECTRE method [24]. The ELEC-TRE methods have been used in optimal problem-solving process for selecting a reasonable solution [25]. The ELEC-TRE methods have been used in optimal message negotiation process for selecting a reasonable solution in the e-service environment [26].…”

“…In this section, a selection approach using a modified version of the ELECTRE method [24][25][26] for candidate elearning objects is described in terms of a context-based utility computing and fuzzy weighted multicriteria decision analysis. The approach includes the use of e-learning object formalization, context-based utility computing for candidate e-learning objects, and the selection order discovery of candidate e-learning objects, as shown in Figure 1.…”

“…E-Learning object formalization is the essential task of the selection approach. This paper refers to a utility-based reputation model [6,25,26] to formalize e-learning object quality factors in order to reinforce the context-based utility computing. Let = { 1 , 2 , .…”

“…Objects. For the second task, this paper proposes a modified version of the ELECTRE method [24][25][26] to determine the selection order for candidate e-learning objects. If there are candidate e-learning objects which involve quality factors, the matrix of expected values can be shown as in (3).…”