International Journal of Research in Industrial Engineering
Volume:7 Issue: 1, Spring 2018

Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in two phases: The first phase involves selecting suppliers and distributors by using Data Envelopment Analysis (DEA) and integer-programming model. In the second phase, first the priority ranking of selected suppliers and distributors is determined using the Analytical Hierarchy Process (AHP) and then these priority rankings are integrated into the transportation models developed to identify the optimal routing decisions for all members of the supply chain.

In today's competitive world, preventing from probable breakdowns can be act as a powerful leverage for managers. They are faced with large complex systems. Hence, the realistic estimation of the reliability of such systems has become increasingly important and it is a vital complicated task especially in the cases where the system configuration is too complicated to present it via a Reliability Block Diagram (RBD). The focus of this research is on the reliability estimation of the complex multi-component systems; each failure mechanism is deployed from a given failure density function. Hence, due to complexity arises from unknown RBD, current research methodology is set based on computer simulation modeling. After investigating the simulation model validity, an example is examined to reveal simulation method advantages. To assess the proposed method, a typical example has also been discussed.

The readymade garments industry is rapidly growing and now it is the single highest export earner for Bangladesh. This business sector becomes an attractive investment destination to the country’s new young entrepreneurs upcoming due to its cheaper labor cost, lower investment cost, availability of resources, governments support, etc. than the other sectors. However, many other factors are often needed to consider in investing in this garments sectors. Again, in garments sectors, there is a wide range of apparel items like shirts, trousers, jackets, sweaters, etc. options that are available to invest. Different types of apparel items demand different types of resource requirements, diverse level of capital investment, operator’s skills, and it is also related to the many other factors. Again, all the investors are not in same stand points according to their business handling capabilities, capitals in hand, business locations and so many other aspects. This paper proposes a methodology for selection best apparel item among different alternatives that will provide a decision support to the investors in opening a new garment factory. The proposed methodology is based on Analytical Hierarchy Process (AHP) under fuzzy environment. The approaches allow the decision maker to use expert’s judgment in the form of linguistic expression in the evaluation process. In the application of proposed methodology, the best apparel item is selected for opening a garment factory in Bangladesh at present conditions.

Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments (RMGs) is one of the most probable and profitable sectors which is considered as the main economic strength of the country. In this study, a two-phased research method has been projected to find out some governing factors affecting industry’s output. In the first phase, six criteria associated with the productivity have been identified based on literature, inputs from experts, opinions from the officials and managers of six garments industries in Bangladesh. In the second phase, among different MCDM tools, Fuzzy Analytic Hierarchy Process (FAHP) has been used for evaluating criteria weights and ranking the criteria. Among several criteria, line-balancing criterion has been found as the most important factor to improve the RMG’s productivity.

Todays, some challenges such as soil, water and air pollution, and severe health hazards to humanity are the results of growing manufacturer in the real world. These challenges are so-called posing risk for sustainable development of the planet. In this matter, the need of achieving higher economic prosperity, along with the least environmental impact has led to a new manufacturing paradigm so-called Green Manufacturing (GM). In this way, Small and Medium-sized Enterprises (SMEs) in Iran with ISO 9001 and ISO 14001 certification, and Just-In-Time inventory control, which make up 99.8 percent of all businesses, are responsible for 70 percent of all industrial pollution. In this paper, we explore the drivers of the GM of SMEs’ environmental processes in field of the industrial chemistry and their impacts on GM. Unfortunately, there is no proper work considering a wide range of drivers of GM in an industrial chemistry. We evaluate 500 Iran SMEs in the field on industrial chemistry, and select the Tage Company as a case study for this purpose considering its Greenhouse Gas Emission (GHG). This paper aims to gather the common drivers of GM from several sources on a case study in Tage Iran Company, as well as to analyze them by utilizing Analytical Network Process (ANP) in an uncertain environment. To tackle this uncertainty, the fuzzy ANP is utilized to prioritize the barriers to GM based on environmental, social, and economic perspectives. Finally, based on the obtained drivers, the fuzzy ANP identifies essential critical driver and the priority of drivers by utilizing a pair-wise comparison

This paper aimed to model and analyze the unsteady hydromagnetic boundary layer stagnation point nanofluid flow over a non-linear stretching surface through porous medium with variable wall thickness. The effects of radiation, dissipation, and slip velocity are taken into account. The formulation of the problem is made through Buongiorno’s model, which involves the aspects of thermophoresis and Brownian motion. The set of governing non-linear Ordinary Differential Equations (ODE’s) are solved numerically by using boundary value problem default solver in MATLAB bvp4c package. The impact of different flow quantities on fluid velocity, temperature, and nanoparticle concentration are analyzed and examined through graphs. The physical parameters like friction factor coefficient , rates of heat transfer , and nanoparticle friction are derived and presented through tables. It is found that the wall thickness parameter  depreciates the nanofluid velocity for  and accelerates when . Also, the unsteadiness parameter shows a significant effect on the stagnation point flow.

In this paper, we introduce a new family of continuous distributions based on [0, 1] Truncated Fréchet distribution. [0, 1] Truncated Fréchet Weibull ([0, 1] ) and [0, 1] Truncated Fréchet ([0, 1] ) distributions are discussed as special cases. The cumulative distribution function, the rth moment, the mean, the variance, the skewness, the kurtosis, the mode, the median, the characteristic function, the reliability function and the hazard rate function are obtained for the distributions under consideration. It is well known that an item fails when a stress to which it is subjected exceeds the corresponding strength. In this sense, strength can be viewed as “resistance to failure.” Good design practice is such that the strength is always greater than the expected stress. The safety factor can be defined in terms of strength and stress as strength/stress. So, the [0, 1]  strength-stress and the [0, 1]  strength-stress models with different parameters will be derived here. The Shannon entropy and Relative entropy will be derived also.