A Modified Bayesian Model for Sustainable Production System Effectiveness Measurement under Competitive Environment
Subject Areas : Production SystemsBuliaminu Kareem 1 , Jimoh Anakobe Yakubu 2 , Basil Olufemi Akinnul 3
1 - Department of Industrial and Production Engineering, Federal University of Technology Akure, Nigeria
2 - Department of Mechanical Engineering, Federal University of Technology Akure
3 - Department of Industrial and Production Engineering, Federal University of Technology, Akure, Nigeria
Keywords: Productivity Challenges, System Effectiveness, Sustainable Decision, Competition,
Abstract :
The need to determine the sustainability of the established industries demands the development of a model at resolving sustainable productivity challenges. The attributes (internal and external) of industrial failure were identified from the literature and the responses of the interviewed industrial experts. System Effectiveness (PSE) factors (availability, performance and quality) were determined using both traditional and Modified Bayesian (MBA) models in order to arrive at manageable decision-making criteria under certainty and uncertainty conditions. Initial measurements of PSE were based on the identified internal factors (manpower, machine, material, energy, management, information / communication, money and marketing), while sustainability decisions were determined using external factors (sustainability trend, globally acceptable standards, industrial revolution class, and competition level). The model was tested using weighted and normal data from the five selected companies to determine their sustainability performances, while paired t-test statistic was used to test the levels of significant difference between weighted and normal PSE at 5 %. The results indicated varying optimum decisions which were influenced by the nature/types of competition, uncertainty and standards of measurement. Statistical result showed that there was a significant difference between the normal and weighted PSE; p (0.007 < 0.05). However, the differences had little or no effect on sustainable decision making in all companies investigated
