International Journal of Research in Industrial Engineering
Volume:7 Issue: 3, Autumn 2018

Multi-criteria sequence dependent setup times scheduling problems exist almost everywhere in real modern manufacturing world environments. Among them, Sequence Dependent Setup Times-Multi-Objective Hybrid Flowshop Scheduling Problem (SDST-MOHFSP) has been an intensifying attention of researchers and practitioners in the last three decades. In this paper, we briefly summarized and classified the current standing of SDST-MOHFSP. All publications are categorized regarding the solution methods, as well as the structure of the hybrid flowshop which helps researcher and practitioner to use/modify proper solution algorithm for solving their specific problem. Furthermore, based on the review of the existing papers, the need for future research is recognized. Accordingly, by recognizing the research gaps, a large number of recommendations for further study have been proposed.

In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For this reason, the plastic manufacturing industries are growing in Bangladesh through the last two eras. This paper might be helpful to select a new location or expansion of the existing one in Bangladesh for the plastic manufacturing company. In this study, we have taken five commercial districts as location and ten criteria for deep consideration from all promising sites of Bangladesh.For this purpose, data has collected through surveying and questionnaires. Then, the Analytic Hierarchy Process (AHP) has used to make a preference measure to select the best location for plastic manufacturing industries. From the comparison value of the composite weight, it can be found that Mongla is the best alternative location for the decision problems.

According to the increasing need of industry to financiers and investors in order to incorporate and encouraging them to invest in various fields of industry, the necessity of a method to help investors for making a decision has emphasized. We present a method which tries to omit to apply personally partial views in making a decision in order to make the results more reliable. This paper focuses on ranking investing opportunities. The strategy which has used is the Data Envelopment Analysis that the 4 main sub-models including Charnes, Cooper & Rhodes (CCR) model, Input Oriented Banker, Charnes & Cooper (BCC) model, Output Oriented BCC model, and Additive model have been utilized. The contribution of this research is using 4 DEA models for ranking projects in terms of feasibility whereas in the similar researches, as what found in the literature, the mentioned models have not been taken into account simultaneously. The developed model is applied in an Iranian investment company which has 15 investment opportunities that we have evaluated and ranked them based on 5 financial indices with DEA mechanism. Our approach can be performed by any investment company or financier to rank their investment projects considering feasibility study results of each investment opportunity.

FMEA (Failure Mode and Effect Analysis) refers to a proactive quality tool that enables the identification and prevention of the potential failure modes of a product or process. However, in executing traditional FMEA, the difficulties such as vague information, relative importance ratings, decisions on same ratings, and opinion difference among experts arise which reduce the validity of the results. This paper presents a fuzzy logic based FMEA depending on fuzzy IF-THEN rules over traditional FMEA to make it precise and give proper maintenance decision. Here, the Risk Priority Number (RPN) is calculated and compared to the Fuzzy Risk Priority Number (FRPN) to give maintenance decision. Furthermore, the FMEA of Reach Stacker Crane (RST) is presented to demonstrate the proposed Fuzzy FMEA.

The study examines the relationship between passengers’ satisfaction and service quality in MMIA. The sample size for the study is a total of three hundred and eighty-four (384), meanwhile, 58.3 percent of response rate was valid for data analysis. 49.1 percent valid questionnaire responses were obtained from the international terminal while 50.9 percent valid questionnaire responses were obtained from the domestic terminal. From the survey, the majority of the respondent was male representing 62.5 percent. From correlation analysis, about 71.1 percent of all service dimensions give a positive and very strong correlation, while about 18.4 percent of all service dimensions give a positive and strong correlation, also about 7.9 percent of all service dimensions give a positive and weak correlation, and about 2.6 percent of all service dimensions give a positive and very weak correlation. Efficiency of available public transport options is the only service with a very weak correlation. The study also revealed that there is a relationship between passengers’ satisfaction and service quality at P.value less than 0.05. This signifies that service quality leads to passengers’ satisfaction. It is therefore suggested that airport services should be quality so as to have a corresponding effect on high passengers’ satisfaction.

The role of primary education is to ensure the broad-based development of pupils. This means ensuring that all pupils are able to develop their cognitive, social, emotional, cultural, and physical skills to the best of their abilities and preparing them for their further school career. It is known that education in Bangladesh is highly subsided. The government has given the highest importance to the education sector to ensure education for all. A large percentage of a country's national budget is set to promote education and make it more accessible. But the education system of Bangladesh faces several problems. Low performances in primary levels and dropout are matters of concern because the low performances can result of poverty, widening disparities in education opportunities and facilities, poor school attendance, less contact time in school, lack of skilled school teachers, and lack of coordination between parents and the teachers. For that reasons, this research is conducted to implement the Total Quality Management (TQM) to improve the condition and the quality of the primary education system. Total Quality Management is a tool for ensuring proper quality in the entire organization. The main objective of the research is to eliminate problems such as the lack of quality of teachers and to improve the relation between teachers, students, and parents. Another aim of this research is to improve the quality of the environment of the class room in order to motivate the students to go to school; so, the dropout can be reduced.

Nowadays, the construction managers try to accomplish the projects on time and successful simultaneously. However, the concept of success is not clear in their mind. The purpose of this paper is to identify the factors that effect on project success in the construction field; so, an integrated model of critical success factor for construction projects has been suggested. The proposed model consists of three categories of variables, i.e. people related factors, project related factors, and environmental factors. This model clarifies the definition of success in the mind of construction professionals and develops the critical success factors for construction projects through prior research. The novelty of this research is the comprehensive view of critical success factors in an integrated model format. The model has been tested on construction project managers in Esfahan. Findings show that in Esfahan the success of construction projects depends on people, project, and environment related factors, respectively. This paper clarifies the ambiguous definition of success in the mind of construction professionals.