scholarly journals A Slack-Based Measures for Improving the Efficiency Performance of Departments in Universitas Malikussaleh

2018 ◽  
Vol 7 (2.14) ◽  
pp. 491 ◽  
Author(s):  
Dahlan Abdullah ◽  
Tulus . ◽  
Saib Suwilo ◽  
Syahril Efendi ◽  
Hartono . ◽  
...  

Data Envelopment Analysis (DEA) is a data-oriented performance evaluation method that has a very satisfactory performance when there are multiple inputs and outputs presented in the form of set of peer Decision Making Units (DMU). In the discussion of DEA, basically measures the efficiency of each DMU in specific performance based on DEA Efficiency Scores. In DEA, when there is a value of Non-Zero Input and Output Slacks then this often means inefficiency. This scalar measures directly with the input surplus and the output of the short decision of the decision making unit (DMU). Universitas Malikussaleh as one of the State Universities in Indonesia, it is necessary to follow the regulations of the Ministry of Research, Technology and Higher Education of the Republic of Indonesia (KEMENRISTEKDIKTI), one of which is the measurement of efficiency based on the number of lecturers research, the efficient use of resources included in the number of lecturers and employees, as well as students who can be accommodated based on efficiency measurements using DEA. This paper will measure the efficiency of each department in Malikussaleh University and if there is an inefficient department then it will be measured based on slack-based measures to advise aspects that need attention so that the department can be efficient.  

2018 ◽  
Vol 197 ◽  
pp. 16005 ◽  
Author(s):  
Dahlan Abdullah ◽  
Muhammad Zarlis ◽  
Darmawan Napitupulu ◽  
Hartono Hartono ◽  
S Sriadhi ◽  
...  

Measurement of the efficiency of the university performance. Data Envelopment Analysis (DEA) is a data-based performance evaluation method used when multiple inputs and outputs are represented in the Decision-Making Unit (DMU) set. In DEA, when there is a value of Non-Zero Input and Output Slacks then this often means inefficiency. This scalar measure directly with the input of surplus and the output of the short decision of the decision-making unit (DMU). DEA Structure usually apply in general settings, actually DMUs can fall into distinct groups whose members experience similar circumstances. The targets of the Ministry of Research, Technology and Higher Education of the Republic of Indonesia (KEMENRISTEKDIKTI), one of which is the measurement of the efficiency based on the number of lecturers' research, the efficient use of resources. This study will group each department at the Universitas Malikussaleh using the Group Common Benchmarking approach and then provide suggestions for improvements to each group by using Slack-Based Measures.


2020 ◽  
Vol 53 (7-8) ◽  
pp. 1278-1285
Author(s):  
Esmaeil Mombini ◽  
Mohsen Rostamy-Malkhalifeh ◽  
Mansor Saraj ◽  
Mohsen Zahraei ◽  
Reza Tayebi Khorami

Data envelopment analysis is a nonparametric method for measuring of the performance of decision-making units—which do not need to have or compute a firm’s production function, which is often difficult to calculate. For any manager, the progress or setback of the thing they manage is important because it makes planning and adoption of future policies for the organization or decision-making unit more rational and scientific. Different methods have been used to calculate the improvements and regressions using Malmquist Index. In this article, we evaluate the units under review in terms of economic efficiency, and the units in terms of spending, production, revenue and profit over several periods, and the rate of improvement or regression of each of these units. Considering the minimal use of resources and consuming less money, generating more revenue, and maximizing profits, the improvement or retreat of the recipient’s decision unit in terms of cost, revenue, and profit was examined by presenting a method based on solving linear programming models using the productivity index is Malmquist and Malmquist Global. Finally, by designing and solving a numerical example, we emphasize and test the applicability of the material presented in this article.


2013 ◽  
Vol 724-725 ◽  
pp. 921-924
Author(s):  
Sheng Yun Ma ◽  
Zhan Xin Ma ◽  
Ri Mu Tu Ji

Sometims traditional DEA method can not compare the efficiency of some decision making unit. Cluster analysis method can be applied in the generalized DEA method with input only to solve this kind of problem. The mean vector of all decision making units was taken as a virtual decision making unit, some special decision making units were selected by average linkage method to act as sample unit set and the G-DEA efficiency of all the decision making units were evaluated based on the sample unit set. At last the efficiency of Chinese energy consumption efficiency for per 100 million yuan GDP was evaluated by the traditional BC2 method and the method which given in this paper.


2018 ◽  
Vol 8 (9) ◽  
pp. 1644
Author(s):  
Je-Liang Liou ◽  
Pei-Ing Wu ◽  
Ching-Ren Chiu

The main purpose of this study is to explore the carbon reduction environmental benefits that can be achieved if carbon benchmarking is applied when semiconductor manufacturers in Taiwan work to improve the technical efficiency of their carbon reduction efforts. The evaluation method used is as follows. First, a technical efficiency measurement method that is capable of considering both desirable outputs and undesirable outputs is used to measure the technical efficiency of the carbon reduction efforts and identify the benchmark firms with the best technical efficiency. Next, an attempt is made to estimate the greenhouse gas reduction that is realized by the sample if their carbon reduction efforts are accompanied by the implementation of a benchmarking system. Finally, the monetary value of the greenhouse gas reduction is estimated so as to develop a better understanding of the carbon reduction benefits for the adoption of the process outlined above. The empirical results show that using carbon benchmarking to raise the technical efficiency of carbon reduction management would, on average, boost the annual sales revenue of each decision-making unit by about US$486.6 million, while also bringing up the average annual CO2 reduction benefits per decision-making unit by US$11.11 million per year.


2021 ◽  
Vol 13 (12) ◽  
pp. 6597
Author(s):  
Raphael N. Milion ◽  
Thaís da C. L. Alves ◽  
José Carlos Paliari ◽  
Luisa H. B. Liboni

Evaluating the impact of defects in buildings and ranking the most impactful ones enables construction companies to better choose which paths to take in light of continuous improvement activities to support more sustainable decisions regarding the design and operation of buildings. As a result, the risks of the different choices are more clearly identified while assessing all tangible and intangible aspects of residential building defects in a structured way. Although recent studies on managing construction defects in residential buildings have focused on monetary losses associated with maintenance activities based on the defect’s frequency and severity, these studies do not take into account the levels of customer satisfaction. To address this gap, this paper proposes a novel evaluation method of the impact of defects to support decision-making in managing defect occurrences in residential buildings. The goal is to rank the defects’ impact based on a combination of some critical aspects: frequency of occurrence, financial considerations on repairing such defects, the impact that these defects have on customer satisfaction, and the cost and complexity of preventing and minimizing these defect occurrences through continuous improvement activities. The method consists of a structured set of steps that use data from technical assistance departments and customer satisfaction surveys, where information about the users’ level of satisfaction and the occurrence of defects is available. In this paper, data obtained from a construction company were used to test and validate the proposed method. The method also examines the challenges and barriers associated with the technique and points out that difficulties in acquiring reliable data are a bottleneck for making conscious and sustainable decisions to address construciton defects. Moreover, the case study results highlight essential capabilities needed by companies to correctly assess the impact of defects, such as correctly logging data in a structured database and having skilled personnel to verify defects users might have complained about. The paper ends by proposing a set of guidelines to use the method and stressing that structured methods for decision-making are crucial to analyze construction defects in a structured way while also incorporating the user’s perspective. The proposed method is expected to improve sustainable managerial decisions where economic, environmental, social, and technical risks can be accounted for to enhance the quality of projects from the customer’s perspective. Such analysis can help optimize and prioritize the use of resources and minimize the economic impact of activities on the construction company.


2021 ◽  
Author(s):  
Mário Franco ◽  
Margarida Rodrigues ◽  
Rui Silva

Outsourcing is part of a system, as it includes products and services integrated in a value chain and which are performed by an external (contracted) firm, aiming to establish an interdependent, collaborative and trusting relationship between the contracting and contracted firms. Like any dimension of business in organisations, changes in organisational structures and in how the service is produced/provided, outsourcing brings benefits and risks. Therefore, from literature review method, this chapter aims to explore the concept of outsourcing as a differentiating tool in organisations’ performance, emphasising the benefits and risks. The results showed the dimensions to consider in the decision to implement outsourcing, which are: (1) transaction costs, (2) use of resources, and (3) collaboration between the parties. The contribution of the study is to present a synopsis of the outsourcing topic, specifically the theories that support it, its benefits and risks. Additionally, a decision-making model is presented, in the certainty of its usefulness for the organizations’ managers.


2017 ◽  
Vol 9 ◽  
pp. 184797901769324 ◽  
Author(s):  
Ali Soltani ◽  
Akbar Alam Tabriz ◽  
Masoud Sanei ◽  
Ismaeil Najafi Trojeni

The suggestions system is a part of total quality management to create individual and group spirit of partnership between staff and increase efficiency in the organization. Also, diagnosis and improvement process is one of the steps of the chain in the processes of suggestions system. In this study, an approach has been proposed to evaluate efficiency of organizations in performing suggestions system with these aims: (1) Reviewing all the elements in the successful implementation of the suggestions system and (2) providing an effective scientific approach to evaluate the organizations on implementing this system considering the uncertainty in the data. Methodology used in this study included the following techniques: (1) Factor analyzing to clarify the internal correlation between significant criteria and detect the major criteria and (2) using robust data envelopment analysis (RDEA) model to evaluate efficiency of organizations in performing suggestions system. The method is based on 3 inputs and 17 outputs in which some outputs are uncertain scores in form of intervals with uncertain bounds. This model has been solved for different Γs, and a value of weights and rankings for each Decision Making Unit (DMU) has been saved by using the obtained values. In the following a simulation has been used to compute the conformity of the rankings from the RDEA model with reality. Doing so shows that the maximum conformity occurs Γ = 6. Therefore, we can conclude that specific values of Γ can maximize conformity and thus more authentic final rankings for the DMUs in this interval of Γ may be expected.


2015 ◽  
Vol 3 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Ruijuan Guo ◽  
Yanling Dong ◽  
Wang Meiqiang ◽  
Li Yongjun

AbstractBenevolent and aggressive cross-efficiency evaluation methods are the improvement of the cross-efficiency evaluation method. They merely maximize or minimize the efficiency of the composite unit constructed by evaluated decision-making units while maintaining the optimal efficiency of the decision-making unit under evaluation. The two methods completely ignore the self-evaluation efficiency of evaluated unit and the good relationship among decision-making units. To solve the above drawbacks, the authors consider the efficiency score of the decision-making unit as an interval number and propose a more reasonable interval number. On the basis of the interval efficiency, the authors provide the benevolent and aggressive DEA cross-efficiency evaluation models based on the good relationship among all decision-making units. Finally, a numerical example is provided to illustrate the proposed method.


2017 ◽  
Vol 24 (1) ◽  
pp. 71-86
Author(s):  
Amin Wibowo

Up to now, organizational buying is still interesting topic discussed. There are divergences among the findings in organizational buying researches. Different perspectives, fenomena observed, research domains and methods caused the divergences. This paper will discusse organizational buying behavior based on literature review, focused on behavior of decision making unit mainly on equipment buying. From this review literatures, it would be theoritical foundation that is valid and reliable to develop propositions in organizational buying behavior. Based on review literature refferences, variables are classified into: purchase situation, member of decision making unit perception, conflict among the members, information search, influences among members of decision making unit. Integrated approach is used to develop propositions relating to: purchasing complexity, sharing responsibility among the members, conflict in decision making unit, information search, time pressure as moderating variable between sharing responsibility and conflict in decision making unit, the influence among the members inside decision making unit and decision making outcome


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