Efficiency Of Supply Chain Management Research Articles

Predictive analytics in supply chain management

For effective management of the organization and making optimal management decisions at all levels, it is necessary to carry out an analysis of the results of activities. Intellectual analytics of big data is a modern trend in the analysis of financial, economic and operational activities. Predictive analytics can be attributed to intellectual analytics of big data, the results of which are formed on the basis of historical facts processed by the system that has undergone machine learning. The direction of predictive analytics is actively developing, including in the field of supply chain management. Predictive analytics can be effectively used at each stage of supply chain management: inventory planning, distribution, demand forecasting, warehousing, production planning, and delivery. This article discusses the use of predictive analytics and the effects of its use to improve the efficiency of supply chain management. As confirmation of this conclusion, the author cites examples of large international companies using forecast analysis to forecast demand for their products, supply planning, pricing, after-sales service planning, etc. The author concludes that it is necessary to introduce forecast analytics systems into the business intelligence system of production and supply of products.

Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues

In today’s competitive business environment, supply chain performance is one of the most critical issues in the various industries; there is much argumentation about the fact that supply chain performance is the basis of the supply chain management efficiency. In this regard, the distribution sector is the most important part of the supply chain. Due to the pulse of a company is in the hands of its sales and distribution department. This article proposes a new mixed integrated linear programming model MILP for scheduling distribution channel membership based on capillary marketing by considering staffs experiences at Pak's pasteurized dairy in one month. The purpose of this study is to reduce the costs of the company along with the increase in sales. Constraints affecting target functions such as minimum sales per employee and maximum overtime days are also considered. The computational experiment by GAMS software demonstrates the effectiveness of the model in reaching its objectives.

A hybrid decision support system for analyzing challenges of the agricultural supply chain

Agricultural supply chain management includes all the events involved in moving products of the agricultural sector from the field to the customer, and is a crucial aspect ensuring the rich contribution of the agricultural sector to the economic growth of the nation. The purpose of this paper is to add value to the present knowledge base by ascertaining the challenges of the agricultural supply chain in India on the basis of a thorough literature survey and the Delphi technique. Following this, the decision-making trial and evaluation laboratory approach was used to model the identified challenges, explore the cause–effect interrelationship, and to develop the systematic hierarchical structures of challenges through an interpretive structural modeling methodology. The implementation of the approach in the Indian context led to the inference that two factors, namely limited integration among the national agricultural markets, and limited agricultural market infrastructure were the most important ones. The integrated model obtained as an output of this study intends to guide the agricultural policy- and decision-makers to improve the performance of the agricultural supply chain in India. Also, some essential recommendations have been given to improve the efficiency of the agricultural supply chain management.

BFVP: A Probabilistic UHF RFID Tag Localization Algorithm Using Bayesian Filter and a Variable Power RFID Model

We present Bayesian filter of variable RF transmission power (BFVP), a Bayesian filter-based algorithm and a variable power radio-frequency identification (RFID) model for localizing passive ultra high frequency (UHF) RFID tags in complex environments, such as distribution centers/warehouses and retail sales floors. It enables a commercial off-the-shelf (COTS) RFID-equipped robot to provide the precise locations of passive UHF RFID tagged items. First, the robot navigates and fully covers a target space to collect observation of RFID tags using a COTS reader at variable RF transmission power. Every observation is associated with a pose, where the robot receives the response, and the RF transmission power. When the robot collects all responses from an RFID tag, BFVP can estimate the location of the tag, hence, localizing the tagged item. We tested the performance of BFVP in a mock apparel store; it exhibits less than 0.5-m localization error in the practical retail environment with significant multipath fading. Our proposed BFVP could enable promising applications that could greatly improve the efficiency of supply chain management by providing the precise locations of RFID tagged items.

Role of Information Technology on Supply Chain Management of Pharmaceutical Industry

Supply Chain Management SCM is a very critical part of any business. A well-coordinated SCM can improve the efficiency of the business and help in cost reduction. As information technology (IT) is being used widely across all businesses, SCM can benefit to a large extent by the use of IT. This article reviews a number of papers in this field and suggests research gaps for further exploration. The aim of this article is to review the literature on the role of IT on supply chain management (SCM) with special focus on the pharmaceutical industry and suggest possible gaps from the point of view of researchers and practitioners. The article finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

The Market Value of Inventory

This paper investigates how supply chain management (SCM) efficiency affects the value investors attach to the change in a company’s inventory holdings. Based on a large number of U.S. firms from 1971 to 2013, we find that, on average, one dollar of inventory change is valued at $0.507 in the stock market. Decomposition into normal and abnormal inventory changes reveals that the market value of one dollar of abnormal inventory change is 43% smaller than that of normal inventory change, where a normal change moves the inventory balance to an estimated optimal level, and an abnormal change refers to the gap between actual inventory change and the estimated optimal change. We also investigate inventory turnover and gross margin and find economically and statistically significant relations between these proxies for efficient SCM and the value the market attaches to inventory changes. Finally, we find that the market attaches a higher value to inventory changes of firms with better growth prospects, higher sales predictability, and tighter financial constraints.

An Agent-based Simulation of a QoS-oriented Supply Chain

With adaptive customer-orientation the efficiency of supply chain management is improved substantially. By the introduction of service quality-based decision-making into supply chain management the quality of service (QoS) within supply chains is expected to improve autonomously and continuously up- and downstream. In the paper the main characteristics of quality of service oriented supply chain management are outlined. The quality of service criterion, introduced into the adaptive supply chain model, provides market regulators and managements with the needed information and feedback to their increasingly informed decisions. By an experiment comprising several typical scenarios on our agent-based simulation model it was possible to empirically verify the expected impact of quality of service-based reasoning on generic adaptive supply chains.

Evaluating the Efficiency of Supply Chain Management of Bangladesh Readymade Garments Industry

Efficient implementation of Supply Chain Management (SCM) is very imperative for Bangladesh RMG sector to remain competitive in the global market. Bangladesh is struggling with meeting customer lead time, quality problem and with productivity comparing with other RMG producing nations. Moreover, the industry experienced few setbacks relating to building collapse and fire incident which forced the industry into more challenging situation. The country has no alternative to implement proper SCM in order to achieve the desired export goal of US$ 50 billion set by government within year 2021. But unfortunately the level ofpractice and efficiency level of SCM is not satisfactory. This study measures the efficiency level of SCM in RMG sector following Supply Operations Reference Model (SCOR) and found it unsatisfactory. Theanalyses suggest that all the operational dimensions are linked with one another and companies need to improve on all dimensions for improving SCM efficiency. The study provides a model for measuring SCM efficiency with eight latent factors.

Evaluating the Efficiency of Supply Chain Management of Bangladesh Readymade Garments Industry

Evaluating the Efficiency of Supply Chain Management of Bangladesh Readymade Garments Industry

Supply Chain Management for Improved Energy Efficiency: Review and Opportunities

Energy efficiency represents a key resource for economic and social development, providing substantial benefits to different stakeholders, ranging from the entities which develop energy efficient measures to everyone in society. In addition to cost savings, multiple benefits can be achieved by supporting a better alignment between energy issues and strategic business priorities: e.g., improved competitiveness, profitability, quality, etc. Thus, energy efficiency can be a strategic advantage, not just a marginal issue, for companies. However, most firms, especially small and medium enterprises (SMEs), face many problems and, in some cases, hostility when trying to effectively implement energy efficiency actions. The most dominant barriers are the access to capital and the lack of awareness (especially in terms of life cycle cost effects). The supply chain viewpoint represents one of the main opportunities for overcoming those barriers and improving energy performance even for weaker companies. Since the current literature on energy efficiency and practical approaches to ensure energy efficiency mainly focus on energy performance on a single-firm basis, this paper aims to provide a systematic review of papers on the integration of energy efficiency in supply chain design and management published in academic journal, thereby defining potential research streams to close the gaps in the literature. A number of literature reviews have been published focusing on specific aspects of sustainable or on green supply chain management; however, to the best of our knowledge, no review has focused on the energy efficiency issue. Firstly, the present paper shows how considering energy consumption in supply chain management can contribute to more energy-efficient processes from a systemic point of view. Then, the review methodology used is defined and the sampled papers are analyzed and categorized based on the different approaches they propose. From these analyses, potential future research streams are outlined.

What are causes of cash flow bullwhip effect in centralized and decentralized supply chains?

Bullwhip effect in supply chain is a phenomenon which can emerge in both inventory levels and replenishment orders. Bullwhip effect causes variations in cash conversion cycle (CCC) across cash flow of supply chain. As a result, it can lead to inefficiencies such as cash flow bullwhip (CFB). Due to negative impact of CFB on cash flow of supply chain, it can lead to a decrease in efficiency of supply chain management (SCM). That is why supply chain modeling is a proper start point for effective management and control of the CFB. This paper aims to analyze concurrent impact of causes of inventory bullwhip effect and effect of their interactions on CFB based on generalized OUT policy from aspect of CCC variance. To this end, first we develop system dynamics structure of beer distribution game as simulation model which includes multi-stage supply chain under both centralized and decentralized supply chains. Then, in order to develop CFB function, we design experiments in developed simulation model using response surface methodology (RSM). Results demonstrate that if each chain member uses generalized OUT policy as replenishment model, there still exists CFB in both chains and CFB largely stems from rationing and shortage gaming in both centralized and decentralized supply chain. In addition, when information on ordering parameters are not shared among members, parameters of downstream stage (i.e. retailer) are more important than parameters of upstream stage (i.e. manufacturer) in reducing CFB function.

Supplier Evaluation Methodology in the Logistics Company

Created methodology provides procedures, guidelines and principles for evaluation of supplier quality. The goal of the methodology is to increase the efficiency of supply chain management, allowing them to better respond to the new situation and at the same time meet the needs of selected logistics company and all participating subjects. Evaluation of suppliers under the proposed methodology is implemented on the basis of multi-criteria analysis, selection criteria will be performed on the basis of personal and written questioning of practitioners and literature. The determination of weights to each criterion is made on the basis Saaty method. In the multi-criteria analysis, supplier evaluation is used Scoring model.

Research on the Quality and Safety Management of Food Supply Chain

As the severe food safety situation in China becomes an urgent problem to be solved, the emergence and development of “Farmer-Supermarket Direct-Purchase” model, to some extent, provides favorable conditions for the solution of food safety problem. The research of food safety control which is based on “Farmer-Supermarket Direct-Purchase “model involves the coordination and unification among government’s macro-control, management structure of producer and supermarket. Based on the analysis of the factors and risks of “Farmer-Supermarket Direct-Pur- chase” management model, this article sets company A as an example analyzing the specific processes and potential risks of supplier relationship management, procurement and distribution etc. in the process of quality and safety management of food supply chain, in order to provide suggestions for the improvement of the of China’s food supply chain management efficiency.

Model procjene dobavljača kao stvarne tvrtke prema zadanim kriterijima

The proposed supplier evaluation model defines basic approaches, instructions and principles for the area of supplier quality evaluation. The objective of the model is to increase the maximum supply chain management efficiency which enables better reaction to newly created situations and it will satisfy the needs of the logistics company.

중소기업 인적자원개발 지원사업에 대한 공급망경영 유효성에 관한 연구

ABSTRACT Purpose: The purpose of this study was to propose supply chain management efficiency by analyzing moderat-ing effect on the training support project in small and midium-sized enterprise.Methods: The collected data through the survey were analyzed using multi ‐regression analysis. The measure-ment tools used for this study were divided into three dimensions such as personal characteristics, supportive environment and training effect.Results: The results of this study are as follows; first, it was found that the effects of personal characteristics and supportive environment were significant on training effect. Second, significant differences were found between supply chain management active group and inactive group. Third, moderating effect of supply chain manage efficiency was found between variables.Conclusion: SME supporting project in training program needs supply chain management efficiency for training effect. Supply chain management needs to be promoted in SMEs not only for performance but also for their workplace learning and learning culture.Key Words: Supply Chain Management, Small and Medium-Sized Enterprise Training, HRD

Research on the Application and Improvement of Supply Chain Network Model in the Automobile Industry

After the analysis of the principles of the Supply Chain Network Model (SCNM), this paper attempts to apply the model to the automobile industry and then analyze the character of SCNM of the automobile industry considering flows of material, service, information and capital. Consequently, the improved SCNM with detailed directions of those flows are put forward. The improvement is meaningful and will be beneficial to enhancing the efficiency of supply chain management in the automobile industry.

Pharmaceutical Supply Chain Management Research Based on RFID

In order to improve the efficiency of the pharmaceutical supply chain management and strengthen the supervision of medicines distribution, it is proposed that RFID technology is applied to the pharmaceutical supply chain management. The article puts forward the solution to pharmaceutical supply chain management system based on RFID technology and conducts in-depth study on its corresponding processes.

On uncertainty in supply chain risk management

Purpose – The concept of uncertainty is a relevant yet little understood area within supply chain risk management. Risk is often associated with uncertainty, but in reality uncertainty is a much more elaborate concept and deserves more in-depth scrutiny. To bridge this gap, the purpose of this paper is to propose a conceptual framework for assessing the levels and nature of uncertainty in this context. Design/methodology/approach – The aim of the study is to link established theories of uncertainty to the management of risk in supply chains, to gain a holistic understanding of its levels and nature. The proposed conceptual model concerns the role of certainty and uncertainty in this context. Illustrative examples show the applicability of the model. Findings – The study describes in detail a way of analysing the levels and nature of uncertainty in supply chains. Such analysis could provide crucial information enabling more efficient and effective implementation of supply chain risk management. Practical implications – The study enhances understanding of the nature of the uncertainties faced in supply chains. Thus it should be possible to improve existing measures and analyses of risk, which could increase the efficiency and effectiveness of supply chain and logistics management. Originality/value – The proposed conceptual framework of uncertainty types in the supply chain context is novel, and therefore could enhance understanding of uncertainty and risk in supply and logistics management and make it easier to categorise, as well as initiate further research in the field.

RFID application in the food-beverage industry: Identifying decision making factors and evaluating SCM efficiency

The advancement of Information Technology (IT) has efficiently and systematically changed most of all industry activities. With the increased implementation of IT in logistics, the implementation of Radio Frequency Identification (RFID) in logistics could enable the improvement of supply Chain Capacity (SC) and play an important role in the procurement of resources, production, transport, loading and unloading, warehouse, etc., consisting of Supply Chain Management (SCM). This study identifies how composition factors have an effect on SCM efficiency and the intention of implementing RFID according to the implementation of RFID into the food-beverage industry. In addition, this study attempts to reveal the contributing factors affecting the intention of implementing RFID into food-beverage companies by using the intention determination model for implementing RFID and analyzing data characterizing those companies. Based on nine hypotheses produced according to the implementation of RFID into the food-beverage industry, Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used for achieving the goals of this study. As the analysis results of this study indicate, the implementation effects of RFID into SCM showed not a unidirectional influence relationship but a multidirectional and complicated influence relationship.

Developing measures for the evaluation of information flow efficiency in supply chains

Member organisations in a supply chain are dependent on each other to provide material, services and information to perform optimally in the supply chain. Efficient, unrestricted information flow is needed in supply chains to function properly. Information flow is thus an element of supply chain management that needs to be managed. Yet, no indication could be found in supply chain management literature of the measurement of information flow efficiency. Hence, the aim of this article is to explore the measurement of information flow efficiency in supply chain management (SCM) and exploratively develop possible measures (indicators and associated metrics) to measure the efficiency of information flow.In this research the theory of information and related concepts, the basic notions of information systems and the models of business performance measurement were explored. Based on information flow theory and information flow characteristics a research instrument was developed. It was used in a survey to seek inputs from supply chain managers as to the usefulness of characteristics as indicators and metrics for the measurement of information flow efficiency in a supply chain. The main contribution of the study is the development of a conceptual framework of indicators and metrics that may be used to evaluate the efficiency of information flows in supply chains. The results of this study can be used as a basis for further studies to validate the instrument for measuring information flow efficiency and to develop scales to actually measure information flow efficiency.