Journal of Advances in Industrial Engineering
Volume:54 Issue: 4, Autumn 2020

One of the key factors for successiveness of a company is to share the finance, facilities and human resources to the most profit-making projects, this factor can be much more affecting to those kinds of companies conducting overseas projects. In competition environment, projects are putting out to tenders. A successive company is that participate to money-making low risk tenders considering all resources of its company. In this paper after a brief introduction of this problem, a multi objective binary model and a mixed integer linear model will be introduced. The latter one addresses the situation where the decision makers have different approaches to different tenders considering the rate of return as well as the probability of winning the tenders. As all the parameters of these models are uncertain, two different fuzzy approaches are applied to these problems. Finally, to illustrate the application of the proposed models some examples are presented. The results show that by the fuzzy approach new chances to improve the potential benefits arise.

A three-echelon multi-commodity supply chain including manufacturers, distribution centers (DCs) and customers is considered. Customers may be partially or fully covered by the DCs which should be opened in some candidate locations. A two-objective model is developed to find the locations of DCs and the flows of commodities in the whole supply chain considering a pre-determined number of DCs. The first objective function minimizes the total operation costs including transportation, inventory holding, production and site opening costs while the second objective maximizes the customers’ partial coverages. Since the presented problem is NP-hard in nature, three metaheuristic algorithms of NSGA-II, NRGA and MOPSO are developed to find the Pareto-optimal solutions and are compared using some standard criteria for multi-objective algorithms. Numerical examples are designed to assess the performance of the model and the developed metaheuristic algorithms. Considering different criteria for comparing the algorithms, the superiority of some algorithms against others are reported.

With progressing technologies green products are in competition with non-green products. In real world, there exist many firms that produce green and non-green products. In this study, a green supply chain(GSC) with a supplier and a manufacturer is considered. The supply chain(SC) produces green and non-green products. Market demands for both non-green and green products are available. These products might be replaced with each other. If the demand isn't satisfied by green products, hybrid production mode involving green and non-green products is chosen by the manufacturer. The government is considered as the leader of the game and fixes special tariffs(tax and subsid) for all products to control the market demand. A game theoretical model is formulated in four scenarios by considering collaboration of members in the SC. The ideal prices of raw materials, selling prices, and demand for green and non-green products are calculated. A numerical example that consists of sensitivity analysis of some main parameters is presented to compare the outcomes of various scenarios. The results indicate that collaboration between supplier and manufacturer has significant impact on a profit of GSC. Besides, Various consumer’s priorities are covered in hybrid production mode. The results show that by choosing hybrid production mode, the profit of SC decreases and hybrid production mode hasn't positive role on profit of SC and membership. Sensitive analysis shows that increasing tariffs by government causes an increase in summation profit function of GSC and profit function of member of GSC. Moreover, the demand for non-green products increases.

In this paper, a type II robotic mixed-model two-sided assembly line balancing problem is considered. This paper presents a new mixed-integer programming model for type II robotic mixed-model two-sided assembly line balancing to minimize the cycle time, energy consumption, and purchased cost of robots for a given number of workstations. We provided an effective framework for optimizing the multi-objective robotic mixed-model two-sided assembly line balancing problem considering energy consumption and smoothing workload in the make to order environment to help the decision makers make the right decisions under stochastic demand. An augmented epsilon constraint and Lp-metric methods applied to solve the problem, and then, with the help of defining two vertical and horizontal criteria, we attempt to help the decision maker to choose a more efficient solution to make the production line more smooth workload. We demonstrate the efficiency of the proposed method by designing the numerical experiments. ZZ ZZ ZZ ZZ ZZ

Nowadays, consumers tend to use more green and healthy products. Consumer awareness of environmental issues increases today. Declining natural resources, rising disease rates, and rising global temperatures due to industry-wide pollution have raised public concerns. The supply chain, as an important issue and involved with these problems, has always attracted the attention of researchers. A two-channel supply chain is considered in this study. The supply chain consists of one green producer and two retailers along with a Third-party Logistics Company (TPL). The government is also considered as the leader of the structure. The results show that the strategy adopted by the government has a major effect on other members’ decision of the supply chain and can therefore increase/decrease pollution. On the other hand, cooperating with a TPL companies also reduces environmental pollution, despite raising costs. The obtained results emphasize that by growing the value of subsidies allocated to the producer, the government can reduce the amount of pollution in the SC. Moreover, increasing the amount of subsidy will lead to an increase in the degree of product greenness. Also, increasing the degree of the greenness of the product does not always increase the profitability of SC members.

If the quality of a process is described using a linear functional relationship between the response variable and independent variables, such a relationship is called the profile. Today, with the development of manufacturing technologies, multistage processes have found a special position in manufacturing companies and industries. In this paper, we consider a multistage process with AR(1) auto-correlated simple linear profile in each stage and address the effect of both auto-correlation and cascade property on the performance of common monitoring procedures. To eliminate the effect of auto-correlation, we used a transformation method as a remedial measure at first. Then, an approach based on the U statistic is applied to remove the cascade property. Next, a modified T2 control chart is proposed to monitor the process in the second stage. The performance of the proposed control chart is evaluated in terms of average run length criterion. The simulation studies show that the proposed control chart perform satisfactorily.