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In this work, we advance the solution approach to the single stage capacitated warehouse location problem (SSCWLP) problem. We took six formulations given by Sharma and Berry (2007) for SSCWLP with various constraints combinations and added a new promising constraint (Σcapj * yj ≥ 1). The computations done after additional constraint results in statistically better results reduction in number of nodes searched as well as in CPU time taken to solve the problem. We created random 50 samples of problems of size 15x15x15, 30x30x30 and 50x50x50 size problems and solved using GAMS software to show the computational advantage even in such large magnitude problem. We performed paired t-test on all the six pairs of results to observe statistical significance of improvement with the new constraint. Results with new constraint were observed statistically significant and better at two-tailed ttest with 95% confidence interval. [ABSTRACT FROM AUTHOR]

In this paper we start with a brief literature review on HM, FM and BM. Then we relate these among themselves to argue that FM = HM + BM. We map these advanced manufacturing technologies to the strategy of the organization. Later we give several interesting hypotheses and conjectures. Finally we draw a table that relates different types of flexibilities of HM, FM and BM. [ABSTRACT FROM AUTHOR]

This paper develops and analyzes a model for hospital location and capacity allocation. Thefocus is on an urban/developing area. The first model is the convectional model and the secondis an improved model with better constraints, previous work in the planning of hospitals and/orhealth centers in a region has been done with less constraints hence is easily implementableand has less administrative load but costs may be higher. This work focuses on developing andanalyzing a model for hospital location and capacity allocation while optimizing a number of objectives, e.g. minimizing cost of establishment and maximizing coverage of patients. The model 1 is easily implementable and has less administrative load hence costs may behigher, prescribed Model has more variables (hence more CPU time) and requires more administrative load for implementation but costs are probably lesser. Hence cost can be reducedconsiderably if we can trade with speed of solution. [ABSTRACT FROM AUTHOR]

Return and risk are two important attribute of any portfolio. On likes to max return by keeping at a given level or min risk by keeping return at a min level. Or one takes a composite of return and take negative of risk aversion factor multiplied by risk of a portfolio and max it subject to wealth constraint (this is the traditional mean-variance approach: see Subramanyam and Patel () and Shama and Pankaj ()). In this model the risk aversion factor remains the same whatever be the wealth available with the decision maker. It is well known that as wealth of an individual increases his risk proneness also increases. This aspect is considered in the model that is presented in this paper by assuming that as wealth band changes, then also changes the risk aversion factor. Now we give two models of such situation that considers the mean-variance approach to portfolio selection, and conduct numerical investigation to see which of the two models do better. [ABSTRACT FROM AUTHOR]

Fire outbreak, traffic accidents, rescue operations etc. are fairly common in a human settlement all over the globe. The government funded fire stations are responsible to control such situations at the earliest possible. The response time and road route must be minimized to ensure that the adversity is taken under control quickly. To set up such a fire station at an optimal location we also need to consider the budget involved and the value of the locality which it would serve. This paper presents three models i.e. establishment cost, optimal service level and hybrid model of locating a fire station in a city by extending the mixed linear programming formulation using binary genetic algorithm. The proposed models are tested for problem sizes of n = 30 and 60 using GAMS 23.5 and comparisons of optimum results are reported. Hybrid model performs best that help to decision-makers to enhance their decision capabilities. [ABSTRACT FROM AUTHOR]

The Human Progress Index (HDI) is a global assessment of human development based on life expectancy, education, literacy, and GDP per capita; numerous variables represent it. A country's HDI value affects economic growth and GDP, highlighting the importance of human resources in the Country's economic development. It assesses development to create an environment where inhabitants may live a healthy and creative existence. The HDI considers a country's achievements in healthy living, knowledge, and living standard. This article investigates the HDI in Indian states and union territories and the factors that influence inter-state comparisons in economic well-being, health, education, and the human development index. The relationships between social opportunities and HDI status in Indian states have been calculated using correlation. [ABSTRACT FROM AUTHOR]

This paper investigates the role of internal networks on long-term borrowing in large business groups. In line with the network-assisted resource-based hypothesis, our findings suggest that firms associated with big business groups tend to use their internal networks for raising long-term borrowings. These findings indicate that an association with a business group increases the ease of access to debt capital within their internal networks. [ABSTRACT FROM AUTHOR]

With more women entering the workforce and the increasing trend of dual career couples, the paper examines the movement in the Indian context concerning its effect on organizations and vice versa. In this study, we empirically try to observe if the spouse's employment status affects the engagement with the employee and if there is a difference between the dual-career and single career couples concerning organizational policies. Through this paper, in light of this trend of both husband and wife being employed, we try to understand if the family-supportive work environment impacts the employees' engagement levels. Consequently, do the organizations now need to take cognizance of the phenomena and initiate practical implications to win this respect? [ABSTRACT FROM AUTHOR]

Companies spend a lot of time and money training their employees, and when they leave, it hurts. When employees leave the company, it's important to know why they're leaving. An organization can't apply the same analytical method for each and every one of its employees, regardless of the industry or kind of business. We created two groups called cost leaders and differentiators to categorize firms based on strategy, structure, and uncertainty. In order to decrease employee turnover, cost leaders utilize 'predictive/prescriptive analytics, whereas differentiation leaders use 'descriptive/diagnostic' analytics to do so. It is critical for HR Analytics to pay attention to the organization's strategy and structure. [ABSTRACT FROM AUTHOR]

Here we give standard 0-1 mixed integer linear program of CLSPSPIB. In this formulation we eliminate shortage variables and setup (0-1 integer) variables to pose the problem as 'all real' linear program in inventory and production variables. Based on its solution, we keep select variables as zeros or ones in the original CLSPSPIB. We get very good solutions in much reduced CPU time. Detailed computational experience is given. [ABSTRACT FROM AUTHOR]