International Journal of Research in Industrial Engineering
Volume:7 Issue: 2, Summer 2018

The research of Fixed Point Theorems (FPTs) plays an important role in nonlinear analysis. It is of great theoretical significance and profound application value to study general abstract theory in a B-Metric-Like Space (BMLS). So, it is an important topic to study the Fixed Point Theory (FPT) in a BMLS. In this paper, for the purpose of introducing some new FPTs, a -type Lipschitz Cyclic Mapping (LTLCM) is first proposed by us in a complete BMLS, and we proved the existence theorem of fixed points of -type Lipschitz Cyclic Mappings (LTLCMs) in complete BLMS. Next, we also construct an example in a discrete complete BMLS to show and illustrate the effectiveness of . In the end, on the basis of the example, we show the calculation of the range of the parameter s that appears in B-Metric-Like Spaces (BMLSs). Our main theorems extend and develop existing results in the recent literature.

Nowadays the Resource Constrained Project Scheduling Problem (RCPSP) has triggered a substantially significant issue among scheduling problems. The purpose of RCPSP is minimizing the duration of the projects due to both limited available resources and precedence constraints. Indeed, it attempts to consume the total resources by finding the best duration for each activity. This paper proposes a new multi-objective mathematical model for multi-mode RCPSP with interruption to minimize the completion time of the project, maximize the Net Present Value (NPV) of the project, and minimize the allocating workforce’s costs to perform required skills of all activities. To solve the proposed model, an efficient method based on Me measure is used to cope with the uncertainties, and TH method is utilized to convert the multi-objective method into the single one. Furthermore, this paper presents a novel hybrid meta-heuristic algorithm based on Imperialist Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model which has never been used to solve this type of problems before. Also, to evaluate the proposed method, its performance is investigated against some meta-heuristic algorithms: Differential Evolution (DE) and Imperialist Competitive Algorithm (ICA). Then, a numerical example, two case studies and a real case study have been carried out to embody both validity and efficiency of the presented approach. The obtained results embody that the proposed SAICA is more effective and practical in comparison with DE, ICA, and BCO in decreasing the project duration and also, the considerable effect on solutions confirms the quality of the proposed method.

In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables. The settings for the manufacturing processes of such products are required to be optimized considering the quantitative as well as the ordinal response variables. But the simultaneous optimization of the quantitative and the ordinal response variables are rarely attempted by the researchers. In this paper, a new approach for simultaneous optimization of quantitative and ordinal responses are presented, which are developed by integrating multiple regression techniques, ordinal logistic regression technique, and Taguchi’s Signal-to-Noise Ratio (SNR) concept. The effectiveness of the proposed method is evaluated by analyzing two experimental data sets taken from the literature. The comparison of results reveals that the proposed method leads to the best optimal solution with respect to the total SNR as well as the Mean Square Error (MSE) of individual responses

Today, a production enterprise cannot survive without using computer-based machines. Nevertheless, not all enterprises have enough money to invest in such manufacturing resources. On the other hand, handling the resource or providing appropriate platform is not easy at all. For companies, Cloud-based strategies give them a chance to bring their inherent knowledge and intelligence to every business case and cause a quick response by reducing the cost of investment. Manufacturers know that providing capacity, according to demand will increase the profit and help them to get new work contracts. In the recent century, intelligent manufacturing would be the one in which all information is available in the most useful way, right where and when that it is needed to hold an optimum operation or response such as cloud manufacturing. This paper aims to provide a framework for how using cloud services emerge at obtaining lean concepts in the manufacturing companies. The research has conducted through semi-structured interviews among professionals in Cloud-based environments and production systems. Key managers or employees from different levels have selected. Analyzing interview transcripts using a constructivist approach to grounded theory is supposed to result in a model for how to develop cloud service models according to the lean concepts, especially in manufacturing frameworks.

The world of ergonomic evaluation considerate the human biomechanics and anthropometric measurement an integral part of product design and development work. In this paper, we have given an attempt to design an ergonomically fitted office chair suitable for Bangladeshi people. In this paper, the anthropometric data analysis has been done in order to determine the necessary dimensions suitable for the office chair. Lastly, an ergonomically fitted office chair is designed based on this anthropometric data analysis. The concept of the paper is to focus on the dimensional changes that the Bangladeshi people need for their comfort in the ergonomic office chair. The structural difference in different regions makes us inspired to think about the office chair ergonomics for Bangladeshi people. In short, this paper reflects the entire process of designing an ergonomic office chair suitable for them.

Let (Zn, +) be a finite group of integers modulo n and Dn a non-empty subset of Zn containing proper devisors of n. In this paper, we have introduced the difference divisor graph Diff (Zn, Dn) associated with Zn whose vertices coincide with Zn such that two distinct vertices are adjacent if and only if either a-b belongs to Dn or b-a belongs to Dn . We have investigated its algebraic and graph theoretic properties. Further, we have proved that the difference divisor graph Diff (Zn, Dn) is not a Cayley graph.

Ultrasonic testing uses high frequency sound waves of a range between 0.5 to 15 MHz to conduct testing. The basic principle and applications of ultrasonic testing techniques is enormous use under the domain of mechanical engineering applications. Importance of ultrasonic testing of rails, train wheels, carbon fiber reinforced plastic, aeronautical defects in composite structures, testing of welds, and some other applications are increasing day by day. Literature survey reveals that it is a challenging task for practitioners and researchers to increase the efficiency of non-destructive testing techniques for identifying and localization defects in different mechanical engineering components/parts. Basic fundamentals applications of ultrasonic testing of metal, non-metal, ceramics, polymers, concrete, etc. are briefly explained.  Present and future perspective of ultrasonic testing for mechanical engineering domain are discussed along with the sub new development in the area of ultrasonic testing.