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A Simple and Effective Methodology for Generating Bounded Solutions for the Set K-Covering and Set Variable K-Covering Problems: A Guide for or Practitioners
Research Article
Author(s):
Bryan McNally, Yun Lu, Emre Shively-Ertas, Myung Soon Song, Francis J. Vasko
As generalizations of the classic set covering problem (SCP), both the set K-covering problem (SKCP) and the set variable (K varies by constraint) K-covering problem (SVKCP) are easily shown to be NP-hard. Solution approaches in the literature for the SKCP typically provide no guarantees on solution quality. In this article, a simple methodology, called the simple sequential increasing tolerance (SSIT) matheuristic, that iteratively uses any general-purpose integer programming software (Gurobi and CPLEX in this case) is discussed. This approach is shown to quickly generate solutions that are guaranteed to be within a tight tolerance of the optimum for 135 SKCPs (average of 67 seconds on a standard PC and at most 0.13% from the optimums) from the literature and 65 newly created SVKCPs. This methodology generates solutions that are guaranteed to be within a specified percentage of the optimum in a short time (actual deviation from the optimums for the 135 SKCPs was 0.03%). Statistical analyses among the five best SKCP algorithms and SSIT demonstrates that SSIT performs as well as the best published algorithms designed specifically to solve SKCPs and SSIT requires no time-consuming effort of coding problem-specific algorithms—a real plus for OR practitioners. Contribution/ Originality
This study documents a methodology that iteratively uses integer programming software to efficiently generate solutions that are guaranteed to be very close to the optimums for the set K-covering problem. A significant benefit of this methodology is that no problem specific algorithm needs to be coded by the user. Computer Sciences » Review of Computer Engineering Research » Month: 12-2021 Issue: 2
An Experimental Economic Study of Loss Aversion in Stock Trading Decisions
The disposition effect is a form of behavioral bias that tends to result in investors holding on to their losing stocks for too long and selling winning stocks too soon. It can be explained by the behavioral economics theory of loss aversion. Even though many have studied this kind of behavioral bias in a variety of different countries, none of them have investigated the disposition effect in the case of Thailand. Therefore, the main objective of our study is to test the disposition effect among Thais by applying the experimental economic approaches of Weber & Camerer (1998) and Odean (1998) whilst also including the findings from questionnaires and interviews. We set up a simulation stock trading market to test the disposition effect of participants regardless of whether they had stock trading experienced or not. Subjects were required to trade among six stocks in 14 trading periods. We also added three more periods to test how different types of news impacted the subjects’ trading decisions. In addition, we analyzed socioeconomic factors that affect disposition effect behavior by using an econometric binary choice model. We found that this experiment can exhibit the disposition effect of subjects in terms of overall and individual measurement. In normal stock trading situations, we found that over 70% of subjects showed clear signs of the disposition effect, which seemed to decrease after they received fictional news. Contribution/ Originality
This study is one of very few studies that have investigated the behavioral economics of the disposition effect and the effect of news on behavioral change in the case of Thailand based on experimental methods. Agricultural Sciences » Animal Review » Month: 01-0 Issue: 4
Entrepreneurs are striving to maintain the existence of their businesses in the face of the COVID–19 pandemic. Top management need to maintain effective processes and ensure employee motivation to keep the right employees in the business. The level of interest of both academic researchers and practitioners has increased regarding employee relations within organizations during lockdown situations. Most workplaces implemented work from home arrangements for most employees. This study seeks to examine the citizenship behavior effectiveness and the effectiveness of project implementation in construction projects in the oil and gas industry. Citizenship behavior effectiveness was used as a theoretical framework for this research. The construction project employees from the oil & gas industry were invited to take part in this research. Quantitative data analysis was employed with a structural equation modelling approach during the transition from office and construction sites to working from home. The findings revealed that citizenship behavior effectiveness has a positive influence through the observable variables. Contribution/ Originality
This research contributes to the existing literature by providing valuable information for policymakers regarding how facilitators and inhibitors influence large-scale construction projects in the oil and gas industry. Arts and Education » World Journal of Vocational Education and Training » Month: 12-2030 Issue: 4
Abstract