The questionnaire survey was applied for collecting primary data. Primary data are main sources for the survey. The study has been adopted descriptive and causal research design. The objective of this study is an impact of product design on purchase decision and to recognize the association between the gender and choice of product design with reference to laptop. Moreover, caused by the quickly storing, shifting, and retrieving the information, consumers can use it to have pertinent information anytime, anywhere. It has seen the usage of laptops is increasing these days. It assists in communication and shares information with different categories of people and users. Now-a-days, technology is changing with innovation and development to meet human needs and wants. Computational results and comparisons with the state-of-the-art algorithms indicate the superiority of the MODJaya in solving the multi-objective MS-RCPSP. The performance of the proposed algorithm is evaluated on an intelligent multi-objective project scheduling environment benchmark dataset. In addition, a left-shift scheme is embedded into the decoding process for improving resource utilization. An efficient encoding and decoding pair is designed to construct feasible schedules, and different assignment criteria are proposed to increase solution diversity. Two simple heuristics are employed to enhance the exploration ability. In MODJaya, the best and worst solutions are used to generate offspring. This paper presents a multi-objective discrete Jaya (MODJaya) algorithm to address the MS-RCPSP with the objectives of minimizing makespan and total cost simultaneously.
Multi-skill resource constrained project scheduling problem (MS-RCPSP) is one of the widest investigated problems in manufacturing systems.
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