Evaluation on Risk Factors of Elderly Services From the Perspective of Integrated SCOR Model

Analysing and identifying the risk factors of elderly services is conducive to improving the risk management capabilities of the elderly care industry and maintaining the safety and stability of the elderly care service industry chain. Based on the integrated Supply Chain Operations Reference (SCOR) model, a risk indicator system for elderly services supply chain was established from plan, design, supply, implementation, and customer service. The DEA method with Entropy-AHP mixed constraint was introduced to deal with the weight freedom of traditional DEA method. Taking the likelihood, exposure and consequence of risk occurrence as decision variables, the risk evaluation and ranking of the indicators were carried out. According to the empirical analysis based on the data of elderly care institutions in the Pearl River Delta of China, the biggest Pareto risk factors in the first-level and second-level indicators, the risk growth and reduction ratios of the first-level indicators were obtained.

Analysing developing countries approaches of supply chain resilience to COVID-19

PurposeThe Covid-19 pandemic has made it essential to explore the resilience factors specific to developing regions, not only because they pose threats of extreme poverty and offer a novel context but also because they play an important role in globalisation.Design/methodology/approachA mixed-method approach was undertaken to address this novel pandemic situation. First, an open-ended structured questionnaire was developed, and data were collected from three neighbouring emerging economies: Pakistan, India and Iran. Experts' perspectives on vulnerabilities, response measures, resilience and restoration of supply chain activities, and the role of social capital were collected. Second, building upon the findings from phase one of the studies, a quantitative structured questionnaire using the supply chain operational reference (SCOR) model was used to collect data in a structured manner. This quantitative data were further analysed using frequency and contingency analysis.FindingsThe findings from the first phase of the study inductively derive 36 resilience categories. Later, the contingency findings show that supply chain (SC) disruption is a major vulnerability for emerging economies, whereas solutions offered to combat it lay in the reconfiguration of resources, such as financial, technological, human, information and material. Additionally, supply network structure and social capital play an integral part in making SCs resilient against disruption.Research limitations/implicationsThe respondents comprise the academics/SC researchers, which make the findings interesting though they lack the industrial experts' perspectives, directly. Nevertheless, the propositions can be tested in industrial settings to see whether the results are limited to a specific industrial setting or are rather generalised.Practical implicationsSimilarly, practitioners and policy makers can incorporate the SCOR metrics/factors outlined in this study into their performance measurement systems and ensure continuous monitoring for firm's resilience.Originality/valueThe study offers a holistic understanding of the developing regions' approaches to Covid-19. The paper also takes a social capital perspective to explain firms' resilience in these emerging economies.

Circular Business Processes in the State-of-the-Practice: A Survey Study

Despite increasing global environmental concerns, we continue to consume large amounts of products with little regard to what happens before, during, and after their use. Roughly one-third of the food produced is wasted. Because the world’s population is expected to grow to 10 billion by 2050, adopting circular economy practices will become essential. The transition towards a circular economy requires adopting business processes that support circular economy practices across supply chains. Currently, the SCOR (Supply Chain Operations Reference) model is the most widely used, and widely known, approach for studying and evaluating supply chain business processes. It is, however, unclear to what extent circular principles are included in the SCOR model. Past studies indicating missing processes for circular supply chain management in the SCOR model have made limited efforts in capturing the current state-of-the-practice. We conducted an online survey of 60 companies engaged in 14 different types of economic activities to study the SCOR level 2 business processes adopted in practice. In addition to the 22 level 2 business processes documented in SCOR, we identified six additional level 2 circular business processes that the respondents recognized as being commonly applied within their businesses. The results clearly show that the current SCOR model does not fully represent circular business processes in the state-of-the-practice.

Designing Performance Improvement Strategy in Automotive Companies Using SCOR Model and Importance Performance Analysis

This research begins by determining and validating indicators (KPIs) that will be used to measure performance in the company’s supply chain, and making questionnaires to compare priorities between indicators and also each attribute and process at each SCOR level. This study has five general processes of supply chain. Each process is further divided into several attributes that are included at level two within the SCOR framework, namely reliability, responsiveness, flexibility, cost, and assets. Furthermore, each of these attributes has a total of 49 performance indicator indicators. The next step is to validate and ensure each indicator can be measured in research by holding discussions with the company. This paper aims to obtain the value of the company's supply chain performance to determine the supply chain performance improvement strategy of PT. X so that the performance of the company's supply chain can improve.

Use of Big Data in Supply Chain Management

The rapidly expanding interest in the application of big data analytics (BDA) in supply chain management (SCM) among academics and practitioners has prompted an assessment of current research progress in order to define a new agenda. the use of sophisticated analytics tools to improve supply chain management The apps are divided into three categories: descriptive, predictive, and prescriptive analytics, as well as the supply chain operations reference (SCOR) model domains of plan, source, make, deliver, and return. This review answers to the demand by offering a new classification scheme that provides a comprehensive picture of current literature on where and how BDA has been used in SCM. The classification system is based on Mayring's (2008) content analysis method and addresses four research questions: (1) In which aspects of SCM is BDA used? (2) To what extent is BDA employed in these SCM domains in terms of analytics? (3) What are the different types of BDA models utilised in SCM? (4) How are these models developed using BDA techniques? The consideration of these four topics reveals several research gaps, pointing to future study directions. Purpose - Rapid innovation and globalisation have created a plethora of opportunities and choices for businesses and consumers in the marketplace. Due to competitive pressures, sourcing and manufacturing are now done on a global basis, resulting in a huge increase in product availability. The purpose of this article is to determine whether real-time business intelligence (BI) is required in supply chain analytics. Design/methodology/approach – The paper argues for and analyses the benefits and drawbacks of BI. Findings – The article focuses on the need to review the classic BI notion of integrating and consolidating information in an organisation in order to help service-oriented businesses that want to keep their customers. Using a BI methodology to improve the effectiveness and efficiency of supply chain analytics is a vital component of a company's ability to establish a competitive edge. Originality/value – This study contributes to a better understanding of the difficulties surrounding the usage of business intelligence tools in supply chains. Keywords: Supply chain management, Business analytics, Information systems, Big Data, Big data analysis

IMPLEMENTASI HALAL TRACEABILITY SUPPLY CHAIN DENGAN MODEL SUPPLY CHAIN OPERATION REFERENCE (SCOR) INDUSTRI MAKANAN HALAL

ABSTRAKTujuan dari penelitian ini adalah menggambarkan hasil implementasi dari sistem halal traceability supply chain pada produk makanan halal pengolahan daging di perusahaan Ternaknesia Farm Innovation. Analisis pada penelitian ini menggunakan model Supply Chain Operation Reference (SCOR) sebagai model utama dalam pengembangan halal traceability supply chain. Perusahaan ini tengah mengembangkan sistem jaminan ketelusurah halal (halal traceability supply chain) pada produk daging yang dijual nya dengan membuat model bisnis Ternaknesia 2.0 yang berkelanjutan sebagai perusahaan pertama di wilayah Surabaya Jawa Timur yang memiliki sistem halal traceability. Hasil identifikasi atas Implementasi dari halal traceability supply chain menunjukan bahwa penerapan sistem halal traceability di perusahaan mampu meminimalisir terjadinya ancaman kontaminasi zat haram yang ditelusuri dari implementasi pada proses model SCOR yaitu plan,resource,make, deliver return, dan enable dengan mengembangkan konsep halal dan thoyyib pada produk daging halal yang dijual. Teknologi yang digunakan dalam implementasi pelacakan proses ketertelusuran halal atau halal traceability system yaitu dengan penggunaan label QR Barcode Scan dan didukung penggunakan EPICS code pada produk daging halal yang dijual di perusahaan, sehingga memberikan jaminan ketelusuran halal rantai pasok kepada konsumen. Kata Kunci: halal traceability supply chain dan makanan halal. ABSTRACTThe purpose of this study is to describe the results of the implementation of the halal traceability supply chain system on halal food products for meat processing at the Ternaknesia Farm Innovation company. The analysis in this study uses the Supply Chain Operation Reference (SCOR) model as the main model in the development of halal traceability supply chain. The company is developing a halal traceability supply chain guarantee system for the meat products it sells by creating a sustainable Ternaknesia 2.0 business model as the first company in the Surabaya area of East Java to have a halal traceability system. The results of the identification of the implementation of the halal traceability supply chain show that the implementation of the halal traceability system in the company is able to minimize the threat of contamination of illicit substances traced from the implementation of the SCOR model process, namely plan, resource, make, deliver return, and enable by developing the concept of halal and thoyyib. on halal meat products sold. The technology used in the implementation of tracking the halal traceability system is the use of a QR Barcode Scan label and supported by the use of the EPICS code on halal meat products sold in the company, thus providing guarantees for supply chain halal traceability to consumers.Keywords: halal traceability supply chain and halal meat products.

OPTIMIZATION OF STAPLE PRODUCTS USING THE SUPPLY CHAIN OPERATION REFERENCE (SCOR) TO CUSTOMER SATISFACTION IN CENTRAL JAVA

The role of the Supply Chain affects the value of domestic products that arise in an area is not the same as the income received by residents of the area. It can be seen that the staple products sector dominates 61.55% of the distribution of products in Central Java. So, this is an important factor in measuring the Supply Operations Chain that occurs in these commodities. The high costs incurred in this sector encourage us to continue to improve our operational performance to reduce costs as low as possible. The condition is what the public/consumers want so that the gap between production costs and distribution costs of existing products is not too far away. This study aims to measure consumer satisfaction with the Supply Chain in the area and optimize the Supply Chain model that can be done to improve operational processes in the upstream (supplier) and downstream (distribution channels) of the Supply Chain in Central Java. The data analysis method used is the Supply Chain Operation Reference (SCOR). This model serves to weigh the importance of measuring customer satisfaction with the Supply Chain in the area, and efforts to improve operational performance can be made by minimizing failure in the process so that delivery to consumers is on time. The results of the SCOR model show that Asset, Agility, and Cost are variables that must be improved in the logistics process in Central Java.

Peningkatan Produktivitas Melalui Penerapan 5S di IKM Kulit di Sleman, Yogyakarta

Small and Medium Enterprise (SME) called MARS Genuine Leather is one of the SMEs under the guidance of the Department of Industry and Trade (Disperindag) in the Sleman region, Yogyakarta. In 2018, MARS and 10 other SMEs in Sleman and Bantul Regency have involved in research with the Department of Industrial Engineering at the Islamic University of Indonesia regarding supply chain performance analysis using the Supply Chain Operation Reference (SCOR) Model. The results showed that MARS had the lowest supply chain value among the 5 SMEs in the Sleman region. Continuing the results of the research, improvements were made through Community Service activities regarding the implementation of 5S in MARS. the Department of Industry and Trade (Disperindag) of Sleman has provided several pieces of training on the implementation of 5S for SME owners. However, this training has not been applied directly to each IKM. Therefore, this service activity aims to provide hands-on training on the implementation of 5S at IKM MARS as well as one of the improvements that can be made to the results of previous supply chain performance analysis research. The results of this service are in the form of direct training guidance at IKM, videos of the first 3S implementation (Seiri, Seiso, Seiton), and a checklist form that can be used by IKM as an internal audit. The 5S knowledge and skills that have been applied in MARS are expected to help the enterprise to reduce waste as well as increase productivity in the future.

How novice analysts understand supply chain process models: an experimental study of using diagrams and texts

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.

Tuning value chains for better signals in the post-COVID era: vaccine supply chain concerns

PurposeThe authors identify the critical bottlenecks that exist in the vaccine supply chain that are preventing a robust coronavirus disease (COVID) response. The authors posit that improved supply chain signals can result in improved handling and distribution of vaccines in a post-COVID world and identify recommendations for redesign of the vaccine supply chain as well as future research questions for scholars.Design/methodology/approachThe supply chain operating reference (SCOR) model is used as a framework to identify each of the major gaps that exist in the supply chain for the COVID vaccine. The critical bottlenecks and delays that exist within this supply chain are identified through this framework and validated through the ongoing research and interviews in the field.FindingsWhilst the vaccine supply chain for influenza is perfectly sized for development and distribution of this cyclical virus, the emergence of a new virus created a pandemic, which has exposed a number of critical shortages. The authors find that the design of the COVID vaccine supply chain suffers from a flawed structure. To date, less than 3% of the United States and global population has been fully vaccinated. The authors advocate a “back to front design”, beginning with demand planning for actual vaccinations and working backwards toward supply planning and distribution planning. These lessons may be helpful for capacity planning and supply chain strategy for future vaccinations as variants of the COVID vaccine emerge.Originality/valueThe authors provide a unique approach for viewing the current shortages that exist in the vaccine supply chain and offer suggestions for new variants of this supply chain for the future.