Showing 12 results for Efficiency
, ,
Volume 23, Issue 2 (6-2012)
Abstract
The problem of staff scheduling at a truck hub for loading and stripping of the trucks is an important and difficult problem to optimize the labor efficiency and cost. The trucks enter the hub at different hours a day, in different known time schedules and operating hours. In this paper, we propose a goal programming to maximize the labor efficiency via minimizing the allocation cost. The proposed model of this paper is implemented for a real-world of a case study and the results are analyzed.
Mahdi Karbasian, Mohammad Farahmand, Mohammad Ziaei,
Volume 26, Issue 2 (7-2015)
Abstract
This research aims at presenting a consolidated model of data envelopment analysis (DEA) technique and value engineering to select the best manufacturing methods for gate valve covers and ranking the methods using TOPSIS.To do so, efficiency evaluation indices were selected based on the value engineering approach and different manufacturing methods were evaluated using DEA technique.Finally, effective methods were ranked based on TOPSIS. Accordingly, 48 different methods were identified for manufacturing the part. The DEA results showed that only 12 methods have complete efficiency. Meanwhile manufacturing method No. 32 (A216 WCB casting purchased from Chinese market as the raw material, machining by CNC+NC and drilling by radial drill) was ranked the first.Major limitations of the research include time limitations, place limitation, lack of access to the standards adaptability index in different machining and drilling methods, limitation on evaluating all parts of a product, limitation on a technique evaluating efficiency and ranking, and mere satisfying with superior indices in each factor of value engineering. Most previous studies only evaluated efficiency of manufacturing methods based on a single approach.By applying value engineering, which is in fact a combination of three approaches (including quality approach, functional, and cost approaches), the present research provided a far more comprehensive model to evaluate manufacturing methods in industrial.
Hanieh Adabi, Hamid Mashreghi,
Volume 30, Issue 4 (12-2019)
Abstract
In this research, we analyze a supply chain involving two competing manufacturers that sells their product through two common competing retailers. The manufacturers’ products are the same but with different brand in market. The retailers face stochastic demand where demand is a decreasing function of price with additive uncertain part. Manufacturers compete on supplying orders where retailers compete on selling price. Each manufacturer set wholesale price contract with retailers similarly. We examine supply chain coordination with wholesale price contract under competition and demand uncertainty. The analytical results show that under coordination condition, manufacturers do not obtain any positive profit and consequently the retailers intend to increase wholesale prices. On the other hand, manufacturers can increase wholesale prices until the retailers’ profit becomes zero. Hence, with a numerical study for actual cases, it is found that changing demand sensitivity and competition intensity affect the optimal decisions of ordering and pricing. Moreover, increasing in competition sensitivity, increase the supply chains’ efficiency, stocking level and selling price. The concluding remarks show that further investigation is required for possibility of coordination under competition by other contractual mechanisms.
Hessam Nedaei, Seyed Gholamreza Jalali Naini, Ahmad Makui,
Volume 32, Issue 1 (1-2021)
Abstract
Data envelopment analysis (DEA) measures the relative efficiency of decision-making units (DMU) with multiple inputs and multiple outputs. In the case of considering a working team as a DMU, it often comprises multiple positions with several employees. However, there is no method to measure the efficiency of employees individually taking account the effect of teammates. This paper presents a model to measure the efficiency of employees in a way that they are fairly evaluated regarding their teammates’ relative performances. Moreover, the learning expectations and the effect of learning lost due to operation breaks are incorporated into the DEA model. This model is thus able to rank the employees working in each position that can then be utilized within award systems. The capabilities of the proposed model are then explored by a case study of 20 wells with 160 distinct operations in the South Pars gas field, which is the first application of DEA in the oil and gas wells drilling performance analysis.
Jafar Esmaeeli, Maghsoud Amiri, Houshang Taghizadeh,
Volume 32, Issue 2 (6-2021)
Abstract
So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (DMUs)” through “Data Envelopment Analysis (DEA)” and “Network Data Envelopment Analysis (NDEA)” models in different places, but most of these studies have measured the performance of DMUs by efficiency criteria. The productivity is considered as a key factor in the success and development of DMUs and its evaluation is more comprehensive than efficiency evaluation. Recently, studies have been developed to evaluate the productivity of DMUs through the mentioned models but firstly, the number of these studies especially in NDEA models is scarce, and secondly, productivity in these studies is often evaluated through the “productivity indexes”. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. So, the purpose of this study is to develop a new approach in the NDEA models using “Multi-Objective Programming (MOP)” method in order to measure productivity of DMUs through efficiency and effectiveness “simultaneously, in one stage, in a period, and interdependently”. “Simultaneous and single-stage” study provides the advantage of sensitivity analysis in the model. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that it is possible for a branch to be efficient by considering its subdivisions separately but not be efficient by considering the conjunction between its subdivisions. In addition, a branch may be efficient by considering the conjunction between its subdivisions but not be productive. Efficient branches are not necessarily productive, but productive branches are also efficient.
Katiryna Sheludko, Iryna Koshkalda, Olena Panukhnyk, Dmytro Hoptsii, Liudmyla Makieieva,
Volume 33, Issue 1 (3-2022)
Abstract
The article analyzes the ecological condition of the soil and identifies the main problems of the environmentalization of land use in Ukraine in the case of the Kharkiv region. Deterioration of the ecological condition of agricultural land, weakening of their erosion resistance, violation of the optimal structure of land, reduction of the content of humus and basic nutrients lead to a decrease in land productivity. In general, the current state of environmental safety of land is quite unsatisfactory, so it significantly reduces the quality and volume of agricultural production.
The analysis of the situation and the forecast of the efficiency of soil fertility show that due to the sharp decrease in the application of organic and mineral fertilizers, insufficient implementation of forest reclamation, and anti-erosion measures, degradation processes have intensified in all areas. The problem with the balance of nutrients has become more acute, the acidity of the soil solution is increasing, the humus content is reducing, and the intensity of erosion processes has significantly increased.
The main tasks of the environmentalization of agricultural land use involve measures for increasing soil fertility by limiting the use of intensive chemicalization of agriculture; measures for the application of the organic fertilizer to ensure a deficit-free balance of humus in the soil; measures for mechanization, chemicalization, land reclamation using the latest methods; anti-erosion measures and the use of new methods of tillage, liming, soil, and minimization of tillage. Thus, to ensure the formation of environmentally friendly agricultural land use, an important condition is the creation of a scientifically sound structure and optimization of the ratio of productive (arable land) and environmentally friendly (hayfields, pastures, wooded areas) land use. The main environmentally friendly elements of this structure include agro-ameliorative and forest-ameliorative measures that form the ecological framework of agro-landscapes and are the basis for providing favorable agro-environmental parameters for agricultural land.
Inna Irtyshcheva, Yevheniya Boiko, Iryna Kramarenko, Dmytro Voit, Nazari Popadynets,
Volume 33, Issue 1 (3-2022)
Abstract
The paper suggests methodological approaches to the complex evaluation of the efficiency of decentralization reform, which can be used for monitoring and adjusting decisions at any of its implementation stages. The suggested methodological approaches contribute to narrowing the results of the analysis of diverse phenomena and processes down to a single unified system of standardized parameters, thereby developing a single monitoring model and simplifying the decision-making process. The fact that the decentralization process has primarily 3 interrelated and interdependent directions is taken into account in forming the methodological approaches to evaluation of the ongoing reform efficiency. The indicators of analysis of the reform implementation efficiency across the organizational-administrative, budgetary, and socio-economic components are systematized in order to be used both for determining the average reform implementation paces in the country and comparing the respective structural changes. The set of mathematical tools to evaluate them is suggested. The efficiency of the decentralization reform implementation is comprehensively analyzed across Ukrainian regions. The major accomplishments and bottlenecks to be addressed at the current stage are determined. The comparative analysis of the efficiency of the decentralization reform implementation across Ukrainian regions has shown that, currently, there isn’t any consistent relationship between the organizational, budgetary, and socio-economic results of the reform in the regions. The abovementioned processes remain to be unbalanced due to slow reform implementation in some regions, available unresolved controversies, some duplicated managerial functions, and lacking sufficient level of residents’ confidence in authorities.
Inna Irtyshcheva, Yevheniya Boiko, Olena Pavlenko, Iryna Kramarenko, Kseniia Chumakova, Natalia Hryshyna, Olena Ishchenko, Anastasiia Zubko,
Volume 34, Issue 1 (3-2023)
Abstract
The research is devoted to the theoretical and applied
organizational bases to held of the comparative analysis of the economic development of the regions of the Black Sea region. The main purpose of the article is the process of comparative
analysis of economic development of the Black Sea region. The article tests the authors' hypothesis about the adequacy of the indicators defined for evaluation through the proposed number of relative indicators, which in the complex will characterize the achievements of the region in ensuring the economic stability of the regional system, quality of transformation processes and indirectly the conditions created by public authorities for economic development. There is confirmed the dependence of the use of the proposed methodological approaches and the constructed comparative profile of the regions of the region, which can be useful for identifying the strengths and weaknesses of the region, outlining key issues and developing regional development plans and programs. It is determined that the largest vector length in the Mykolaivska region, which indicates that in the region on a number of economic indicators achieved higher results than in other regions of the Black Sea region and on average in other regions of Ukraine during the study period.
Qurtubi Qurtubi, Muhammad Suyanto, Anas Hidayat, Elisa Kusrini,
Volume 34, Issue 3 (9-2023)
Abstract
Various of studies on firm’s performance have been performed by reserachers involving many variables as antecedents, logistics performance is one of them. Aside from significantly supporting the firm, it also identifies firm’s performance as standard to keep up in short and long-term competition. There are several types of criteria in logistics performance, however they are all only classified in three dimensions which are efficiency, effectiveness and differentiation. From the literature review, it was suggested that halal certification could affect logistics performance. This article proposes research model that integrates logistics efficiency, logistics effectiveness, logistics differentiation and halal certification as the dimensions of logistics performance. . It is expected to provide theoretical contribution by explaining causal relationship among variables and provide intact knowledge by considering the firm’s performance that is determined by dimensions of logistics performance. Literature review is applied for this research. Based on the result and discussion, it can be concluded that halal certification potentially could become a new dimension for logistics performance in addition to other existing three dimensions, yet it takes empirical research support strengthen this proposed model.
Mohammad Reza Ghatreh Samani, Jafar Gheidar-Kheljani,
Volume 34, Issue 3 (9-2023)
Abstract
In this paper, a brief review of the recently developed blood supply chain (BSC) management studies is firstly presented. Then, a first-ever multi-objective robust BSC model is proposed, which is inspired by the need for an integrated approach towards improving the performance of BSC networks under uncertain conditions. The network efficiency by minimizing cost, adequacy by providing reliable and sufficient blood supply, and effectiveness by controlling blood freshness are aimed at the proposed model. A two-phase approach based on robust programming and an augmented epsilon-constraint method is devised to model the uncertainty in parameters and provides a single-objective counterpart of the original multi-objective robust model. We investigate a case to illustrate the real-world applicability of the problem. The research comes to an end by performing some sensitivity analyses on critical parameters, and the results imply the capability of the model and its solution technique.
Iwa Kustiyawan, Mas Rahman Roestan, Catur Riani,
Volume 34, Issue 4 (12-2023)
Abstract
This research aims to identify the initial OEE (Overall Equipment Efficiency) values on automated packaging machines with a 2d barcode track and trace system. Quantitative research methods used to obtain the OEE value, analysis of factors affecting the OEE values, developing a strategy to make improvements, and evaluate these strategies on the level of machine productivity. The importance of the subject lies in the need to improve the efficiency and productivity of pharmaceutical packaging processes. The pharmaceutical industry is facing increasing pressure to optimize operations and reduce waste. Implementing effective performance measurement tools such as Overall Equipment Effectiveness (OEE) can help identify areas for improvement and enhance productivity. This study found that the track-and-trace system was below the company's standard, indicating room for improvement. Then, countermeasures were implemented to increase productivity and machine effectiveness, and the initial OEE value of the automated packaging machine with 2D barcodes improved. Thus, this study demonstrated the effectiveness of the proposed framework in evaluating and improving OEE in pharmaceutical packaging processes, highlighting the significance of digitalization and automation technologies in enhancing productivity.
Kuswanto Kuswanto,
Volume 35, Issue 3 (9-2024)
Abstract
Cooperative performance efficiency describes the level of cooperative ability to utilize resources to generate profits. Efficient performance will increase productivity and strengthen business competitiveness. This study was conducted on 34 secondary cooperatives at the provincial level throughout Indonesia. Data was analyzed from 2019 - 2021 using the DEA (Data Envelopment Analysis) method. The results of the analysis show that the efficiency of cooperative performance in Indonesia is very low because the use of input resources exceeds the target needed to generate optimal profits. By using the DEA method, the level of achievement of input use in generating optimum profits is described in detail, starting from the number of cooperative members, utilization of own capital, utilization of external capital, utilization of assets, and the level of business volume developed by the cooperative. The results of this study greatly contribute to improving cooperative performance by evaluating the use of input resources in generating optimum profits according to the capacity of the cooperative