Showing 7 results for Effectiveness
Yahia Zare Mehrjerdi,
Volume 25, Issue 2 (5-2014)
Abstract
Abstract
Purpose of this paper: The purpose of this article is to review some of the most prominent applications of RFID in industries and to provide a comprehensive review of the work done from 1985 through 2007 and the research trend on that. The effectiveness of RFID and the challenges that it is facing with are also discussed. Some applications of radio frequency identification in supply chain are briefly reviewed and three large cases of radio frequency identification implementation in supply chain are discussed.
Design/methodology/approach: Provides some background on radio frequency identification, and a deep look at the researches conducted from 1985 through 2007. Articles are classified by the year of publications and each case is discussed very briefly. To obtain a good understanding of the level of the researches completed up to the end of 2007 a table and graph are used to demonstrate the summary of results.
Findings: In this research, author came up with 401 articles on RFID as all are listed in a table. The findings point to this fact that research on RFID has started to pick up on year 2002 with 16 publications and then reached to its pick at year 2005 with 112 publications, and then trend went down to 42 and then up to 51 publications for years 2006 and 2007, respectively.
Practical implications (if applicable):
What is original/value of paper: Due to the fact that a better management of a system is related to the full understanding of the technologies implemented, sufficient background on the radio frequency identification technology is provided and the types of researches conducted so far on this matter are briefly discussed.
Hadi Teimouri, Kouroush Jenab, Sam Khoury,
Volume 27, Issue 1 (3-2016)
Abstract
The main objective of the present survey is to conduct a comparative analysis of the challenges of the performance evaluation system in two private and public sectors and their impact on effectiveness of human resources management practices. This survey was conducted using the field-descriptive method. The historical study method was used to collect theoretical subjects and the field study method was applied to answer the research questions and confirm or reject the research hypotheses. Statistical population of the research included all experts and managers at various levels in two private and public sectors of the petrochemical industry. Cluster-stratified sampling method in two phases was utilized. According to the results of the present survey, there is a significant difference among identified challenges in the performance evaluation system in two private and public sectors of the petrochemical industry. Results demonstrate that the effectiveness level of human resource management practices in the performance evaluation system is higher than the average level in the public sector, effectiveness level of human resource management practices in the performance evaluation system is lower than the average level in the private sector of the petrochemical industry, and there is a significant difference between the effectiveness level of human resource management practices in the performance evaluation system in two private and public sectors of petrochemical industry. Studying the impact of existing challenges in the performance evaluation system on effectiveness of human resource management practices shows existence of a significant and reversed relation among the existing challenges in the performance evaluation system and effectiveness of human resource management practices in this regard.
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.
Mohsen Khezeli, Esmaeil Najafi, Mohammad Haji Molana, Masoud Seidi,
Volume 32, Issue 2 (6-2021)
Abstract
One of the most important fields of logistic network is transportation network design that has an important effect on strategic decisions in supply chain management. It has recently attracted the attention of many researchers. In this paper, a multi-stage and multi-product logistic network design is considered.
This paper presents a hybrid approach based on simulation and optimization (Simulation based optimization), the model is formulated and presented in three stages. At first, the practical production capacity of each product is calculated using the Overall Equipment Effectiveness (OEE) index, in the second stage, the optimization of loading schedules is simulated. The layout of the loading equipment, the number of equipment per line, the time of each step of the loading process, the resources used by each equipment were simulated, and the output of the model determines the maximum number of loaded vehicles in each period. Finally, a multi-objective model is presented to optimize the transportation time and cost of products. A mixed integer nonlinear programming (MINLP) model is formulated in such a way as to minimize transportation costs and maximize the use of time on the planning horizon. We have used Arena simulation software to solve the second stage of the problem, the results of which will be explained. It is also used GAMS software to solve the final stage of the model and optimize the transporting cost and find the optimal solutions. Several test problems were generated and it showed that the proposed algorithm could find good solutions in reasonable time spans.
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.
Arifa Khan, Saravanan P,
Volume 35, Issue 3 (9-2024)
Abstract
Optimizing production in the plastic extrusion industry is a pivotal task for small scale industries. To enhance the efficiency in today’s competitive market being a small-scale manufacturer over their peers is challenging. With the limited resources, having constraints on manpower, capital, space, often facing fluctuations in demand and production, simultaneously maintaining high quality became very important for the success. Among the plethora of KPIS used in manufacturing, Overall Equipment Effectiveness (OEE) stands out as corner stone. In this study, we collected real-world data from a plastic extrusion company. i.e., an HDPE Pipe manufacturing company. It serves as the backdrop for our study, this is based on the plastic extrusion sector and set out a goal of enhancing OEE through a comparative investigation of various ML models. To forecast and estimate OEE values, we used various Machine Learning models and examine each algorithm’s performance using metrics like Mean Squared Error (MSE) and model comparisons using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), creating a comprehensive picture of each algorithm’s strength which enables the small businesses to make informed decisions and empowers them to stay agile and adapt to the changes in the manufacturing environment.
