PROCUREMENT OPTIMIZATION BY SELECTING EFFICIENT SUPPLIERS USING DEA-FUCOM-COCOSO APPROACH AND SOLVING ORDER ALLOCATION PROBLEM

Procurement logistics is one of the most important segments of the supply chain and one of the key factors of a company’s competitiveness. For that reason, many companies strive for constant optimization of this segment of the supply chain, both in terms of costs and in terms of time, reliability, etc. The aim of this paper is to develop a new approach based on DEA-FUCOM-CoCoSo methods that aim to select efficient suppliers. The developed model was tested on the data of one trading company. The DEA method was used in order to select only efficient ones from 29 observed in this paper. The FUCOM method was used to determine the weights of the 9 observed criteria used in the CoCoSo method for evaluation of 6 efficient suppliers. The results of the application of this method determined the final rank of suppliers, after which only the first 3 suppliers were considered. At the very end, a model for solving the problem of order allocation is defined in order to determine from which supplier it is necessary to order goods and in what quantity. By applying the defined model, the quantities that need to be ordered from certain suppliers in order to meet the demand on the market are obtained. Based on the results, the developed approach showed the possibility of large application not only on the observed example but also on a larger problem

MEASURING EFFICIENCY CHANGE IN TIME APPLYING MALMQUIST PRODUCTIVITY INDEX: A CASE OF DISTRIBUTION CENTRES IN SERBIA

In the last decade, more and more attention has been paid to the efficiency of logistics systems not only in the literature but also in practice. The reason is the huge savings that can be achieved. In a very dynamic market with environmental changes distribution centers have to realize their activities and processes in an efficient way. Distribution centers connect producers with other participants in the supply chain, including end-users. The main objective of this paper is to develop a DEA model for measuring distribution centers’ efficiency change in time. The paper investigates the impact of input and output variables selection on the resulting efficiency in the context of measuring the change in efficiency over time. The selection of variables on the one hand is a basic step in applying the DEA method. On the other hand, the number of basic and derived indicators that are monitored in real systems is increasing, while the percentage of those used in the decision-making process is decreasing (less than 20%). The developed model was tested on the example of a retail chain operating in Serbia. The main factors changing the efficiency have been identified, as well as the corresponding corrective actions. For measuring efficiency change in time Malmquist productivity index is used. The developed approach could help managers in the decision-making process and also represents a good basis for further research

Supply Chain RFID Solution Evaluation Applying AHP and FAHP Methods: A Case Study of the Serbian Market

There has been a recent years tendency for replacing traditional supply chain data identifying and collecting systems with RFID (Radio Frequency Identification) technologies. There are different RFID solutions on the market and it is crucial to choose the solution that best suits the set of goals and desired scenarios. The choice of solution depends on a whole range of different factors and criteria. The present paper develops multi-criteria evaluation models based on the AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) approach. There are no papers in the literature that solve the mentioned problem in this way, on a real example. Three RFID solutions are defined referring to different data identification levels in supply chains, namely: product level, level of packaging and the level of the pallet. Solutions are evaluated, and rated in relation to four criteria: investments, costs, participants\u27 visibility and participants\u27 privacy protection in supply chains. Developed models are tested and applied via a case study conducted in the Serbian market. The model is an excellent basis for decision-making in practice and for researchers in the literature, while with certain modifications, it can be used for other similar problems

Research in logistics service quality: a systematic literature review

Logistics Service Quality (LSQ) is recognized as an important tool in modern markets. In recent years, a number of researches in this field are growing rapidly. Numerous papers have been published in various industries and observation focuses. Different methods have been applied with a large number of dimensions. However, there are no papers in literature that provide a systematic review of researches in the observed area. This paper aims to investigate, systematize and analyse relevant papers dealing with the LSQ. The purpose of this paper is to form a systematic review of the different approaches, dimensions and focuses of measurement, analysis and improvement of the logistics services quality. The authors conducted systematic literature review to research papers published in academic journals. Different key words have been used for paper research in several databases. According to research question and defined criteria papers selection has been performed. The relevant group of papers is further investigated in more details. A total of 98 papers in 56 journals are identified. Three LSQ research focuses are identified. The review of the most frequently used dimensions of LSQ in different industries is made. The most appropriate and the most commonly used approaches for LSQ measuring are analysed. Most of the papers refer to empirical research and indicate the low level of LSQ. The review represents good basis of future researches, and also some kind of guidelines for practical application of LSQ in the field of transport and logistics. First published online 06 November 201

Impact of RFID Technology on Logistic Process Efficiency in Retail Supply Chains

The challenges that logistics faces in the retail industry must be investigated in the context of the specific retail sector as well as the degree of development of the retail market. The research focus in this paper is on logistic processes in supermarket supply. The aim is to deepen the understanding of logistic processes and then to investigate the possibilities of their enhancement by applying radio frequency identification (RFID) as a higher level of information technology for product identification in retail supply chains. The research was conducted in one of the top ten trade companies in the emerging Serbian market. Simulation modelling was performed for one supply chain category, followed by quantification of time and cost performance of the current logistic processes (AS-IS model). Then, in accordance with the capabilities of RFID system, improvements are proposed and integrated into a new simulation model (TO-BE model). The obtained results can be utilised as part of a broader research when deciding on the implementation of modern information technologies in supply chains.</span

ZASTITA PODATAKA U GLOBALNOM LANCU SNABDEVANJA - PRIMENA SMART CM PLATFORME

Globalni lanac snabdevanja obuhvata veliki broj ucesnika, kao sto su proizvodaci, distributeri, logisticke i transportne kompanije, brodari, granic- ni terminali, carina i sl. Uspesno povezivanje svih ucesnika u jedan sinhroni- zovan lanac nije moguce bez informacionih tokova, koji obezbeduju efikasan protok informacija na razlicitim nivoima. Ucesnici uglavnom imaju sopstve- ne informacione sisteme, a istovremeno su sastavni delovi razlicitih infomra- cionih i komunikacionih mreza na globalnom nivou. U takvim uslovima poslovanja od kljucnog znacaja je bezbednost informacija. Ovaj rad se upra- vo bavi problematikom zastite podataka u globalnom lancu otpreme i ispo- ruke kontejnera. Prvo su sagledani zahtevi kao sto su: transparetnost, bezbednost, pouzdanost, pravovremenost, ekonomicnost, i efikasnost u lancu snabdevanja, a zatim je predlozeno resenje koje se zasniva na SMART CM platformi. Predstavljena je funkcionalna arhitektura platforme, kljucni sce- nariji za uspesnu primenu i modeli funkcionisanja kroz odredene blokove i slojeve. Definisani su formatiporuka i izvori informacija. Na kraju supred- stavljene mogucnosti i ogranicenja primeneplatforme sa stanovisa najvazni- jih ucesnika u lancu otpreme i isporuke kontejnera

Job Satisfaction and Labor Fluctuation: A Case Study in the Logistics Sector in Serbia

Background: There is a growing need for logistics professionals in different positions and with different competencies. The key question is how to attract and retain a highly skilled workforce. The purpose of this research is to determine what factors and how they affect employee’s satisfaction and loyalty in the logistics sector in the Serbian market; Methods: The impact of company size, primary business activity and employee position on labor loyalty and fluctuation were examined. The research hypotheses were tested on the basis of data obtained from a web survey that included 270 respondents from different industrial sectors in the Serbian market. Linear regression was used for hypothesis testing; Results: The results showed, among other things, that salary and advancement possibility are the main motives for changing jobs. The importance of basic professional knowledge acquired at the faculty for employment and working in various companies was confirmed; Conclusions: There are no papers in the literature that investigate job satisfaction and employee turnover in the logistics market. The results of this research, on the one hand, provide useful and accurate information for decision-making in order to improve the situation in the observed market, while on the other hand, provide an excellent basis for future research

Job Satisfaction and Labor Fluctuation: A Case Study in the Logistics Sector in Serbia

Background: There is a growing need for logistics professionals in different positions and with different competencies. The key question is how to attract and retain a highly skilled workforce. The purpose of this research is to determine what factors and how they affect employee&rsquo;s satisfaction and loyalty in the logistics sector in the Serbian market; Methods: The impact of company size, primary business activity and employee position on labor loyalty and fluctuation were examined. The research hypotheses were tested on the basis of data obtained from a web survey that included 270 respondents from different industrial sectors in the Serbian market. Linear regression was used for hypothesis testing; Results: The results showed, among other things, that salary and advancement possibility are the main motives for changing jobs. The importance of basic professional knowledge acquired at the faculty for employment and working in various companies was confirmed; Conclusions: There are no papers in the literature that investigate job satisfaction and employee turnover in the logistics market. The results of this research, on the one hand, provide useful and accurate information for decision-making in order to improve the situation in the observed market, while on the other hand, provide an excellent basis for future research

Measuring global logistics efficiency using PCA-DEA approach

In situation of increasing global trade, concentration of production and economic crisis cause the increasing importance of freight transport and logistics. In that manner, economic performances of a country are very affected by logistics performances. Measuring efficiency of logistics activities on global level is important for all participants in international trade. This paper proposes the new methodology for measuring global logistics efficiency that integrates international and domestic indicators into single measure. The Principal Component Analysis - Data Envelopment Analysis (PCA-DEA) approach is used in this paper. Proposed approach is tested on a numerical example which consists of eight countries. According obtained efficiency scores observed countries are ranked. The paper also identifies the most important factors affecting the global efficiency. Several hypotheses are tested in this paper. The results show that the proposed approach can be used for evaluation of logistics activities at the global level

The Influence of Online Shopping Determinants on Customer Satisfaction in the Serbian Market

Consumer satisfaction with online shopping is directly dependent on a number of factors. There is a constant dilemma in the market related to the question which online shopping determinants affect the customer satisfaction. This issue is particularly important for underdeveloped markets, where online commerce is not sufficiently present. In order to increase the online commerce participation, it is necessary to explore and analyze the connection between customer satisfaction and diverse determinants. Accordingly, this paper develops the research model to determine the impact of certain online purchase determinants on the consumer satisfaction in the market of Serbia. A conceptual model is defined, consisting of 26 items categorized into seven variables: security, information availability, shipping, quality, pricing, time, and customer satisfaction. Input model parameters were collected through surveys, with the aid of appropriate Internet tools. The validity of the developed model was verified through the Confirmatory Factor Analysis and the Partial Least Squares. The obtained result analysis confirmed the basic research hypotheses that customer satisfaction in online shopping, on the Serbian market, directly depends on the following determinants: security, information availability, shipping, quality, pricing and time