Modelling an End to End Supply Chain system Using Simulation

Within the current uncertain environment industries are predominantly faced with various challenges resulting in greater need for skilled management and adequate technique as well as tools to manage Supply Chains (SC) efficiently. Derived from this observation is the need to develop a generic/reusable modelling framework that would allow firms to analyse their operational performance over time (Mackulak and Lawrence 1998, Beamon and Chen 2001, Petrovic 2001, Lau et al. 2008, Khilwani et al. 2011, Cigollini et al. 2014). However for this to be effectively managed the simulation modelling efforts should be directed towards identifying the scope of the SC and the key processes performed between players. Purpose: The research attempts to analyse trends in the field of supply chain modelling using simulation and provide directions for future research by reviewing existing Operations Research/Operations Management (OR/OM) literature. Structural and operational complexities as well as different business processes within various industries are often limiting factors during modelling efforts. Successively, this calls for the end to end (E2E) SC modelling framework where the generic processes, related policies and techniques could be captured and supported by the powerful capabilities of simulation. Research Approach: Following Mitroff’s (1974) scientific inquiry model and Sargent (2011) this research will adopt simulation methodology and focus on systematic literature review in order to establish generic OR processes and differentiate them from those which are specific to certain industries. The aim of the research is provide a clear and informed overview of the existing literature in the area of supply chain simulation. Therefore through a profound examination of the selected studies a conceptual model will be design based on the selection of the most commonly used SC Processes and simulation techniques used within those processes. The description of individual elements that make up SC processes (Hermann and Pundoor 2006) will be defined using building blocks, which are also known as Process Categories. Findings and Originality: This paper presents an E2E SC simulation conceptual model realised through means of systematic literature review. Practitioners have adopted the term E2E SC while this is not extensively featured within academic literature. The existing SC studies lack generality in regards to capturing the entire SC within one methodological framework, which this study aims to address. Research Impact: A systematic review of the supply chain and simulation literature takes an integrated and holistic assessment of an E2E SC, from market-demand scenarios through order management and planning processes, and on to manufacturing and physical distribution. Thus by providing significant advances in understanding of the theory, methods used and applicability of supply chain simulation, this paper will further develop a body of knowledge within this subject area. Practical Impact: The paper will empower practitioners’ knowledge and understanding of the supply chain processes characteristics that can be modelled using simulation. Moreover it will facilitate a selection of specific data required for the simulation in accordance to the individual needs of the industry

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processe

SUPPLY NETWORK CONFIGURATION USING THE VALUE ENGINEERING BASED METHOD

Supply network configuration considers the whole business logistics to maximize the economic performance of an enterprise. It is a complex strategic decision problem that concerns the long-term organization of suppliers, production factories, distribution centers, and manufacturing resources, thus an efficient decision support is necessary. This paper proposes a decision support method for the supply network optimization. In this method, the business process of a supply chain is described by the Supply Chain Operations References (SCOR) models firstly. Then the value of business processes in the supply chain is evaluated using the Value Engineering (VE) methodology, wherein the processes are defined by function analysis with quantitative comparison to select key functions. And the concept of quality and robustness of Taguchi method is applied to evaluate the performance of different alternatives which are generated by key functions. A case application of global enterprise is elaborated. The results show that the proposed model can effectively optimize the supply network configuration

Bridging Economy and Ecology: a Circular Economy Approach to Sustainable Supply Chain Management

The linkage between economic and environmental issues in an inter-organizational context receives significant attention from scholars and industrial practice. Emerging concepts like Green Supply Chain Management (Green SCM), extending supply chain management with ecological aspects like resource optimization and recycling, might be the first step towards an ecologically responsible economy. But, the question for an appropriate solution for sustainable economic systems remains still open. This paper proposes the integration of the Circular Economy, an economic concept with a focus on long-term sustainability, with established concepts for inter-organizational systems. The proposed framework CESC integrates the Circular Economy model with SCOR (Supply Chain Operations Reference model) to establish a sustainable SCM model beyond Green SCM. The holistic approach is demonstrated by applying CESC to a selected Green SCM concept. CESC may be used to analyze inter-organizational systems on their long-term sustainability and as a blueprint for the development of sustainable, inter-organizational eco-systems

Implementing Sustainable Tourism: The Case of Fair Tourism in Korea

Sustainable tourism has been widely embraced as an important set of beliefs for the sustainable development of tourism (Berry & Ladkin, 1997). Industry and customers, however, seem to have paid less attention and been less outspoken, while academia and government have shown significant interest (Murphy & Price, 2005). Thus, this thesis deals with Fair Tourism, which is a good example of implementing tourism practices sustainably. Fair Tourism is one realm of sustainable development, and it was developed in South Korea (Lee et al. 2015; Park 2010; Jang et al 2010). The purpose of the study is to organize the concept of Fair Tourism and the current status of Fair Tourism as follows: 1) Define the concept of Fair Tourism. 2) How Fair Tour operators in Korea implement sustainability in their businesses. 3) Examine how they manage their sustainable supply chain based on the SCOR model

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

Metainformationssysteme – Backbone der Anwendungssystemkopplung

Die Kopplung von Anwendungssystemen ist als komplexes Entwicklungsproblem im Sinne der Wirtschaftsinformatik zu begreifen. Der Beitrag ordnet aktuelle Standards und Technologien den Entwicklungsphasen der Informationssystementwicklung als Gestaltungsoptionen zu. Anhand von Terminologien und Nachrichtenstandards wird die Bedeutung von Metainformationssystemen gezeigt und es wird die Architektur der Terminologischen Klammer zur Kopplung von Anwendungssystemen eingeführt. Mittels der Kombination von Entwicklungsphasen und Abstraktionsebenen wird ein Rahmenmodell zur Kopplung von Anwendungssystemen eingeführt, welches der Strukturierung von Entwicklungsaufgaben und Beziehungen von Metainformationssystemen bei der Anwendungssystemkopplung dient. <br/

Performance Evaluation of CSR in Supply Chains

Given a lack of studies that have explored the integration of Corporate Social Responsibility (CSR) management within supply chain operations reference (SCOR), the purpose of this study is to identify the discrepancies in how CSR management (CSRM) be incorporated into SCOR, including issues with the hierarchical representation of CSRM processes, metrics, best practices and skills. Therefore, this research aims to establish a performance evaluation framework with application of SCOR model using Fuzzy extended AHP method for evaluating CSR performances in supply chains. These may be potentially helpful for embedding CSRM within other supply chain management processes, visualizing CSR performance metrics in a supply chains performance hierarchy and integrating supply chain management with organisational enterprise CSRM

METODE SUPPLY CHAIN OPERATION REFERENCE (SCOR) DALAM MENGUKUR KINERJA RANTAI PASOK

In increasing competitive advantage at this time, companies must control their supply chain performance to remain optimal. PT. ABCXYZ is a company engaged in the food and beverage industry that produces powdered drinks, the main product produced is ginger powder drink. Analysis of the company's supply chain performance is measured using the Supply Chain Operation Reference (SCOR) method. This research is descriptive quantitative using case study research method. Interviews and direct observations were carried out for actual data collection. The results of measuring the performance of PT. ABCXYZ using the SCOR method is perfect order fulfillment by 88%, order fulfillment cycle time by 8 days, cost of goods sold by 41%, and cash to cash cycle time by 17 day