scholarly journals Model-Based Supply Chain Management

Author(s):  
Oksana Soshko

Model-Based Supply Chain Management The paper is focused on application of modelling and simulation approaches in supply chain management. First, essentials of multi echelon supply chain management are discussed including the functionality of supply chain information systems. Then, a variety of modelling and simulation approaches are analyzed in the context of supply chain management, for example, simulation, stochastic programming, business process modelling and reference model. Finally, some illustrative examples are provided on application of simulation and modelling approaches to supply chain management.

2020 ◽  
Vol 3 (2) ◽  
pp. 185-198
Author(s):  
Nania Nuzulita ◽  
Rheinata Saskya Aziizah Djohan ◽  
Salsabila Roiqoh

Supply Chain Management (SCM) aims to maximize the value of the products produced to meet customers' needs and demands. This study aims to conduct an assessment of Supply Chain Management at MS Company and suggested BPMN with adjusted business processes. The Business Process Model and Notation (BPMN) approach is useful for describing complex business process modelling in detail but still easy to understand. Thus, it can minimize errors in implementing business processes. We used the study case approach to conduct this research by studying several journals related to SCM. A discussion was then held to improve the four main processes associated with SCM, and the improvement was written by using BPMN. This study explains that BPMN can be used to give detail and minimize errors so that the modified business process modelling is easy to understand and facilitates communication between business process designers and business process executors. Some MS company improvement in its SCM includes production scheduling, goods procurement, production implementation, and warehouse management. It is suggested that further observation and examination of the improved SCM is needed to prove the new SCM's success in the midst of the covid-19 pandemic.


2018 ◽  
Vol 193 ◽  
pp. 05064 ◽  
Author(s):  
Ekaterina Kuleshova ◽  
Anastasia Levina ◽  
Rustam Esedulaev

The paper describes the principle of the reengineering of supply chain management integrated scheduling processes in order to increase in efficiency of business process and decrease the decision-making time at collision of plan-fact deviations. The basic concept of business-processes reengineering is analyzed. The experience of reengineering of supply chain integrated scheduling business processes for the oil and gas branch is presented. The bottlenecks of the current practice were revealed. The purpose of this paper is to carry out recommendations for improving business processes based on an analysis of the current realization of the process, his provision with information systems and data flows.


2018 ◽  
Vol 38 (7) ◽  
pp. 1589-1614 ◽  
Author(s):  
Morten Brinch

Purpose The value of big data in supply chain management (SCM) is typically motivated by the improvement of business processes and decision-making practices. However, the aspect of value associated with big data in SCM is not well understood. The purpose of this paper is to mitigate the weakly understood nature of big data concerning big data’s value in SCM from a business process perspective. Design/methodology/approach A content-analysis-based literature review has been completed, in which an inductive and three-level coding procedure has been applied on 72 articles. Findings By identifying and defining constructs, a big data SCM framework is offered using business process theory and value theory as lenses. Value discovery, value creation and value capture represent different value dimensions and bring a multifaceted view on how to understand and realize the value of big data. Research limitations/implications This study further elucidates big data and SCM literature by adding additional insights to how the value of big data in SCM can be conceptualized. As a limitation, the constructs and assimilated measures need further empirical evidence. Practical implications Practitioners could adopt the findings for conceptualization of strategies and educational purposes. Furthermore, the findings give guidance on how to discover, create and capture the value of big data. Originality/value Extant SCM theory has provided various views to big data. This study synthesizes big data and brings a multifaceted view on its value from a business process perspective. Construct definitions, measures and research propositions are introduced as an important step to guide future studies and research designs.


Author(s):  
Tim S. McLaren ◽  
Milena M. Head ◽  
Yufei Yuan

Recent advances in supply chain management information systems (SCM IS) have enabled firms to more fully collaborate with their supply chain partners — driving out costs while increasing responsiveness to market demands. This chapter examines various types of SCM IS — from traditional EDI systems to more recent Web-services-based e-business applications. It argues that the approach best suited for an organization depends in part on the degree of integration between the partners, the complexity of the business processes, and the number of partners involved. A model is presented for analyzing the costs and benefits that can be expected from each type of SCM IS. The model enables researchers and practitioners to better understand the differences among SCM IS and thus can help reduce the risks of implementing these valuable yet complex information systems.


2011 ◽  
pp. 136-152
Author(s):  
Iskra Dukovska-Popovska ◽  
Malcolm Bertoni ◽  
Hans-Henrik Hvolby ◽  
Paul Turner ◽  
Kenn Steger-Jensen

Integrating environmental considerations into supply-chain management has become an increasingly important issue for industry, government and academic researchers. Supply chain managers are being required to respond to the challenges of new legislation, standards and regulations; changing customer demands; drivers for efficiency, cost effectiveness and return on investment; while simultaneously being ‘green’. The fundamental tension between business and environmental drivers is difficult, but critical to understanding how to effectively re-engineer and re-design existing supply chains in a manner that is sustainable both financially and environmentally. Information systems have a significant role to play in supporting corporate responses to environmental management and the development of holistic green logistic solutions. This chapter examines contemporary discussions on the current state of sustainable supply-chain management and green logistics. It presents a case study from the Fujitsu Corporation in Japan and explores models of information systems and RFID use in green logistics. Combining insights from the case and existing models the chapter explores an example of how a combined model can be used to explore the potential of a specific emerging technology (RFIDs) in ‘greening’ supply chains.


Author(s):  
Leopoldo Colmenares

An enterprise resource planning (ERP) system is an integrated set of programs that provides support for core organizational activities. ERP is a software infrastructure embedded with “best practices,” or best ways to do business based on common business practices or academic theory. The aim is to improve the cooperation and interaction between all the organizations’ departments, such as the products planning, manufacturing, purchasing, marketing and customer service department. ERP systems is a fine expression of the inseparability of IT and business. As an enabling key technology as well as an effective managerial tool, ERP systems allow companies to integrate at all levels and utilize important ERP systems applications, such as supply-chain management, financials and accounting applications, human resource management and customer relationship management (Boubekri, 2001). ERP systems hold the promise of improving processes and decreasing costs. Furthermore, two important new frontiers for ERP systems are electronic business (e-business) and supply-chain management (Wang and Nah, 2001). The systems can connect with suppliers, distributors, and customers, facilitating the flow, the product and information. ERP systems implementation is costly and complex. In many cases, an ERP system is the largest single investment in any corporate-wide project. The software is expensive, and the consulting costs even more. Meta Group found that the average ERP systems implementation takes 23 months with total owners’ cost of $12 million (Stewart, 2000). The ERP systems implementation is the process where business process and ERP system match each other. Usually the firm has to change the business process per ERP systems. Sometimes most positions have to be redesigned according to the ERP systems. Thus the difficulties and high failure rate in implementing ERP systems have been widely cited in the literature (Davenport, 1998; Kim, Lee, & Gosain, 2005)). The failure percentage of ERP systems was determined by one study as ranging from 40 to 60% and from another study as between 60 and 90% (Langernwalter, 2000; Ptak and Schragenheim, 2000; Yingjie, 2005). Although the failure rates of these ERP implementations have been highly publicized, this has not distracted companies from investing large sums of money on ERP systems (Somers & Nelson, 2004). ERP systems provide companies with the means of integrating their business functions into a unified and integrated business process. As companies implement more enterprise based systems throughout their organizations, the need for integration of these systems becomes even more paramount. Expanding from the functional areas of accounting, human resources, and shop floor control to an enterprise-wide system has become a format for producing full organization integration. Over the past few years, limited research has been conducted about ERP implementation issues: mainly case studies in individual organizations have been reported. That is a motivation toward conducting empirical studies to explore critical factors that affect ERP systems implementation. This study presents the results of an empirical study that surveyed managers from seven corporations, who were identified as having a key role in ERP systems implementation, in order to assess empirically which CSFs are critical in leading a successful implementation of ERP systems. A factor analysis solution was used to derive factors affecting successful ERP implementation. These factors are: ERP implementation management, users aptitudes and communication and technical knowledge. The study reveals that about 81.5 % of the variances in ERP systems implementation were explained by the critical factors identified in the study. The remainder of this article is organized in four sections. First ERP-related literature is reviewed. The next section introduces the research methodology, followed by the presentation of the results. The paper ends with the conclusions and implications for future research and practice.


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