scholarly journals Reengineering of supply chain management integrated scheduling processes

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.


2011 ◽  
Vol 10 (01) ◽  
pp. 61-67 ◽  
Author(s):  
XIN YU ◽  
CHENGSHENG LIANG ◽  
SHUFEN LI ◽  
XUE SUN

Supply chain management provides a new kind of enterprise relationship management for ensuring the survival and development of enterprises in modern market competition, but with the development of business, information explosion, and the acceleration of business globalization, supply chain management will become increasingly complex. This article provides a method to construct the enterprise supply chain systems from the perspective of the business process management. It utilizes service-oriented architecture to achieve the componentization of each business unit, which makes chain system adapt to the changes of business processes rapidly and deploy these changes into IT system. Ultimately, IT systems can respond to supply chain system in time and then reduce operation costs and time when enterprise is carrying out business restructuring and process optimization.


Author(s):  
Mohsen Mohammadi ◽  
Muriati Mukhtar

The uncertainties in Supply Chain Management (SCM) have increased the business requirement changes, which increase the complexity in the supply chain processes (SCP). As a result, different technologies of IT system have been emerged based on companies' business processes. Hence, managing the business process is crucial in SCM in which process modeling plays key role for analyzing and redesigning of process. Consequently, many methodologies in SCM have been developed to support the requirements for the modeling of SCP. However, they cannot cover the details of the business process in the lower level, i.e. the coordination of the SCP and their interaction, which can be addressed by service-oriented approach. Therefore, this paper aims at proposing a service-oriented methodology, which provides a new approach for supporting the business process architecture layers. The findings prove that the methodology narrows the gap between process analysts and information system developers, using the combination of modeling languages.


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.


The chapter defines business Process Re-Engineering (BPR) from a few perspectives to make clear what it is, what it is not, and what it should be. Essentially, the classic definitions provided by Hammer and Champy, as well as Davenport, are used. The common themes encountered in re-engineered business processes are also mentioned, including the kinds of changes that occur when a company re-engineers its business processes. In order to better explain the concepts of BPR, a business process is defined in fundamental terms and distinguished from a function or department (i.e. work unit). The basic types of business processes are described, and those that are mainly focused on by companies in implementing BPR are highlighted. In addition, a general description of the entire spectrum of business processes typical to organizations, comprising both core and support activities, is provided as an overview. Specifically, the core and support processes that apply to the construction industry are defined. In the next part, the enabling role of IT in BPR is explained in relation to how it is crucial to process innovation for e-business, as well as process integration for supply chain management in the new information (or knowledge) economy. In essence, it stresses that new information and communications technologies enable instant communication and networking, and facilitate timely data-sharing and exchange, leading to the transformation of traditional organizations into those that are highly information-based. Examples of e-business and supply chain management are provided, as well as two case studies of Internet-based construction process innovation. In particular, the design and construction process is examined to identify areas for developing process models. Focusing on achieving design and construction process integration over the life cycle of a project, the requirements for change in the construction industry are highlighted. The applications of 3D/4D models are cited as examples, showing the different areas where they can be applied to derive benefits. Building Information Models (BIM) are introduced in the later part of the chapter as an approach that enables dramatic process improvement and innovation. The key concepts of BIM are covered, including research insights into the scope of BIM use, barriers to BIM use, and effects from BIM use. Process improvements as a result of adopting BIM for the purpose of data integration, systems integration, or collaborative working are discussed in both contexts of intra- and inter-organizational use. Illustrations are provided for the three different purposes. Recent developments in BIM are reviewed to present the current state of BIM implementation in the construction industry. The chapter concludes with a summary of the main points covered on BPR.


2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.


2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Syed M. Belal

Abstract Keeping track of the oil and gas supply chain is challenging task as the route and transportation requires sophisticated security environment - both physical systems’ and IT systems’ security. Thanks to the recent advancement in IoT, specialized sensors can keep track of the required supply chain environment. With the help of blockchain, the supply chain data can be immutably saved for further sharing with stakeholders. Due to the introduction of AI as an embedded element within 6G networks, the end-to-end supply chain process can now be automated for safety, security, and efficiency purposes. By leveraging 6G, AI, blockchain, and IoT, the supply chain data during the transportation or at rest can be monitored for any changed environment during the movement of the ship through national or international routes. In this paper, we study the requirements of such intelligent and secure supply chain management system conducive to the oil and gas industry. We also show our proof-of-concept implementation and initial test results. Our obtained results show promising prospect of the current system to be deployed to safeguard the oil and gas supply chain.


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