In this paper, the ranking performance of six most popular and easily comprehensive multi-criteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment (WASPAS) method, multi-objective optimization on the basis of ratio analysis and reference point approach (MOORA) method, and multiplicative form of MOORA method (MULTIMOORA) is investigated using two real time industrial robot selection problems. Both single dimensional and high dimensional weight sensitivity analyses are performed to study the effects of weight variations of the most important as well as the most critical criterion on the ranking stability of all the six considered MCDM methods. The identified local weight stability interval indicates the range of weights within which the rank of the best alternative remains unaltered, whereas, the global weight stability interval determines the range of weights within which the overall rank order of all the alternatives remains unaffected. It is observed that for both the problems, multiplicative form of MOORA is the most robust method being least affected by the changing weights of the most important and the most critical criteria.

The lack of a proper communication link between supply chain operations and financial performance seems to be due to the difficulty of using the operational metrics of supply chain measurement to reach the financial goals. This study is an attempt to find the effect of supply chain management (SCM) implementation on the financial success of the firms. The study considers the effects of Revenue, Prime Cost, Cash-to-cash cycle period and Return on working capital on the financial performance of the selected firms listed in Istanbul stock exchange from 2012 to 2017. The study divides the sample size based on their financial growth into two groups and using some statistical test measures the difference between two groups, statistically. The results show that there was a significant difference between the mean of high-growth and low-growth companies in terms of SCM implementation. However, the effects of cost, cash cycle and working capital on financial performance were not confirmed.

When a supplier announces a price increase at a certain time in the future, for each retailer it is important to choose whether to purchase supplementary stock to take benefit of the current lower price or procure at a new price. This article focuses on the possible effects of price increase on a retailer’s replenishment strategy for constant deterioration of items. Here, quadratic demand is debated; which is appropriate for the products for which demand increases initially and subsequently it starts to decrease with the new version of the substitute. We discuss two scenarios in this study: (I) when the special order time coincides with the retailer’s replenishment time and (II) when the special order time falls during the retailer’s sales period. We determine an optimal ordering policy for each case by maximizing total cost savings between special and regular orders during the depletion time of the special order quantity. Scenarios are established and illustrated with numerical examples. Through, sensitivity analysis important inventory parameters are classified. Graphical results, in two and three dimensions, are exhibited with supervisory decision.

With worldwide growth in tourism, most of the countries have begun to consider the importance of the tourism industry. However, the Indonesian tourism industry is not working with reasonable performance to contribute to economic development. This industry is lacking a good supply chain in hotel industry and the performance is not promising. Therefore, this study addressed this issue by considering supply chain marketing planning capabilities and supply chain marketing implementation capabilities to facilitate tourism industry with better supply chain management in Indonesian hotels for attracting tourists. Thus, the primary objective of this study is to examine the role of supply chain marketing planning capabilities and supply chain marketing implementation capabilities to boost tourism industry performance. The results indicate that supply chain management was the most crucial issue for attracting tourists. It was also found that supply chain marketing planning capabilities and better supply chain marketing implementation capabilities were the most important factors to enhance the tourism industry performance through customer orientation and knowledge management.

In this paper we introduce the concept of equilibrium for a non-cooperative multiobjective bimatrix game with payoff matrices and goals of Z-Numbers. In the recent studies of the authors, the problem of finding equilibrium for a non-cooperative bimatrix of Z-Numbers are investigated. Multiple payoffs are often dealt with in games because a decision making problem under conflict usually involves multiple objectives or attributes such as cost, time and productivity. We let each of the objectives of the problem correspond to each of the payoffs of the game. To aggregate multiple goals, we employ two basic methods, one by weighting coefficients and the other by a minimum component. In order to find the equilibrium solution in such circumstances, we developed a mathematical programming problem to maximize the aggregated goal subject to constraint of satisfying an aspiration level of confidence in the equilibrium solution. Finally a method is presented to determine the equilibrium solution with respect to the level of achievement to the aggregated goal.

Trade credit mainly signifies increase in order quantity when retailer offers a trade credit to the customer. From the customer’s view, granting trade credit not only increases sales and revenue but also increases opportunity cost. So, the choice to offer trade credit is an important managerial consideration. Moreover another significant decision on purchasing is to include (or not to include) cash discount benefits and the motivations behind it. Therefore, the major objective of this article is to derive the inventory models for deteriorating items by maximizing the total profit of the retailer. The models includes the cash discount for the retailer depending on ordering quantity and also cash discount for the customer depending on the time. The customer’s demand is expressed as a function of time and price, which is appropriate for the products for which demand increases initially and after sometime it starts to decrease. Lastly, numerical examples along with sensitivity analysis are done, which extracts some fruitful managerial insights.

In the competitive business world, applying a reliable and powerful mechanism to support decision makers in manufacturing companies and helping them save time by considering varieties of effective factors is an inevitable issue. Advanced Available-to-Promise is a perfect tool to design and perform such a mechanism. In this study, this mechanism which is compatible with the Make-to-Forecast production systems is presented. The ability to distinguish between batch mode and real-time mode advanced available-to-promise is one of the unique superiorities of the proposed model. We also try to strengthen this mechanism by integrating the inventory allocation and job shop scheduling by considering due dates and weighted earliness/tardiness cost that leads to more precise decisions. A mixed integer programming (MIP) model and a heuristic algorithm according to its disability to solve large size problems are presented. The designed experiments and the obtained results have proved the efficiency of the proposed heuristic method.

This paper examines the effect of supply chain on performance indicators including sales growth and market value in the context of manufacturing firms in Kuwait. The dimensions of supply chain; namely strategic supplier partnership, information sharing, and information quality are also added in the model. Along with sales growth and market value, industry leadership, future outlook, overall response to competition, overall business performance, employee’s productivity, process productivity, and success rate in the launching of new product are some of the important indicators for measuring firms’ performance. Both factor analysis and structural equation modelling approaches are applied to the sample of 314 respondents taken from the manufacturing firms in Kuwait. Factor analysis provides some evidence that all the indicators for supply chain and business performance can be considered for the structural modelling and regression analysis. The core findings under structural modelling indicate that both strategic supplier partnership and information sharing had positive and significant impacts on the overall business performance. However, information quality appears to be the insignificant determinant of business performance. For the sales growth and market value, strategic supplier partnership and information sharing are significant determinants obtained through the regression analysis. The originality of the study can be viewed with reference to the selected performance measures and their determination through supply chain management. However, this study is confined only to the manufacturing sector and the services sector can be focused by incorporating additional performance measures and suitable sample size in future studies.

In recent years, there has been an increase consensus that the firms’ social responsibility plays an essential role for the success of the firms. To address the need to be socially and environmentally responsible, this paper considers a firm, which makes a production decision under the carbon emission cap and trade system. The objective of this study is to examine the impact of the firm’s flexible operational strategy, called a reactive capacity production strategy, on the firm’s managerial efficiency under the carbon cap and trade system. The reactive capacity production strategy has been widely used for agile response on the market. The study shows that the firm with reactive capacity production strategy under the carbon cap and trade market may choose the first production quantity less than the firm without reactive capacity and provide more profit than the firm without reactive capacity. Also, the study analytically provides the optimal solution for the expected amount of carbon emission traded on the carbon trading market and the expected total amount of carbon emission by the firm with reactive capacity under the carbon cap and trade market.