Search results

1 – 10 of 642
To view the access options for this content please click here
Article
Publication date: 29 June 2020

Sanjeev Yadav, Dixit Garg and Sunil Luthra

Performance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain…

Abstract

Purpose

Performance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.

Design/methodology/approach

This research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).

Findings

“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.

Research limitations/implications

In this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.

Originality/value

By using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

To view the access options for this content please click here
Article
Publication date: 27 June 2008

Thomas Gulledge and Tamer Chavusholu

This paper aims to automate the supply chain operations reference (SCOR) model as an enabler for process‐oriented supply chain business intelligence.

Downloads
6206

Abstract

Purpose

This paper aims to automate the supply chain operations reference (SCOR) model as an enabler for process‐oriented supply chain business intelligence.

Design/methodology/approach

The hypothesis is the following: SCOR model automation is possible using data that is directly extracted from integrated enterprise systems. To test the hypothesis, an alignment product that allows the SCOR model to be automated with information that is directly extracted from the Oracle E‐Business Suite was developed.

Findings

In order to achieve the full benefits from the SCOR model, effective business process management and the SCOR key performance indicators (KPIs) must be implemented and used. Unless data collection to support KPI construction is automated, it is difficult to institutionalize the SCOR model as a measurement and benchmarking framework. We have demonstrated that automated support for KPIs is feasible and achievable.

Research limitations/implications

The E‐Business Suite is a single enterprise solution, but we assert that the same procedures could be followed with other enterprise solutions or even applied in a legacy system environment.

Originality/value

The developed solution described in the paper can immediately be applied to the design, development, and deployment of corporate performance management systems.

Details

Industrial Management & Data Systems, vol. 108 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article
Publication date: 28 June 2019

Sri Yogi Kottala and Kotzab Herbert

The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed…

Abstract

Purpose

The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed constructs, SCOR-related performance indicators as practices within the Indian manufacturing sector.

Design/methodology/approach

A literature-based model on SCOR processes with five constructs and respective performance indicators was empirically validated by using a structured questionnaire. A total of 155 respondents among Indian manufacturing sector participated in this research, and the returned questionnaires were analyzed by using structural equation modeling.

Findings

The study established a relationship among the SCOR-related performance indicators and overall supply chain performance indicators (OSCPI). The moderation effect of demographic characteristics, namely, employee size, company age and type of company showed significant differences between SCOR-related performance indicators and overall supply chain indicators.

Research limitations/implications

The scope of the study is limited to specific Indian manufacturing firms. The survey could not represent whole population of manufacturing sector.

Practical implications

The findings assist managers/supply chain practitioners in improving the performance measures identified using the standard framework, i.e., SCOR processes, overall supply chain performance measures as standard practices for Indian manufacturing sector for a profitable and sustainable business growth in global environment.

Originality/value

This research holds a value for suggested practices under SCOR processes and the proposed model for OSCPI, a path finder/performance measurement tool for supply chain professionals in the Indian context.

Details

International Journal of Productivity and Performance Management, vol. 69 no. 9
Type: Research Article
ISSN: 1741-0401

Keywords

To view the access options for this content please click here
Article
Publication date: 1 January 2008

Adisak Theeranuphattana and John C.S. Tang

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method…

Downloads
5709

Abstract

Purpose

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many advantages, it can be unwieldy in practice. This paper aims to address these limitations and to propose a more user‐friendly alternative performance measurement model.

Design/methodology/approach

The performance measurement model described in this paper is a combination of two existing methods: Chan and Qi's model and the supply chain operations reference (SCOR) model. To demonstrate the applicability of the combined approach, actual SCOR level 1 performance data and the measurement information from a case supply chain (SC) are collected and processed by Chan and Qi's measurement algorithm.

Findings

These two methods complement each other when measuring SC performance.

Originality/value

This paper develops a practical and efficient measurement model that can resolve SC performance problems by incorporating the strengths of two different measurement models to create a synergistic new model.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

To view the access options for this content please click here
Article
Publication date: 1 December 2004

Archie Lockamy and Kevin McCormack

As supply chains continue to replace individual firms as the economic engine for creating value during the twenty‐first century, understanding the relationship between…

Downloads
16614

Abstract

As supply chains continue to replace individual firms as the economic engine for creating value during the twenty‐first century, understanding the relationship between supply‐chain management practices and supply chain performance becomes increasingly important. The Supply‐Chain Operations Reference (SCOR) model developed by the Supply Chain Council provides a framework for characterizing supply‐chain management practices and processes that result in best‐in‐class performance. However, which of these practices have the most influence on supply chain performance? This exploratory study investigates the relationship between supply‐chain management planning practices and supply chain performance based on the four decision areas provided in SCOR Model Version 4.0 (PLAN, SOURCE, MAKE, DELIVER) and nine key supply‐chain management planning practices derived from supply‐chain management experts and practitioners. The results show that planning processes are important in all SCOR supply chain planning decision areas. Collaboration was found to be most important in the Plan, Source and Make planning decision areas, while teaming was most important in supporting the Plan and Source planning decision areas. Process measures, process credibility, process integration, and information technology were found to be most critical in supporting the Deliver planning decision area. Using these results, the study discusses the implications of the findings and suggests several avenues for future research.

Details

International Journal of Operations & Production Management, vol. 24 no. 12
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 31 August 2021

Wael Hassan El-Garaihy

The strategic management of the supply chain encompasses the development and integration of a supply chain strategy and the evaluation of the findings. An integrated…

Abstract

Purpose

The strategic management of the supply chain encompasses the development and integration of a supply chain strategy and the evaluation of the findings. An integrated approach is required for linking the supply chain strategy with the overall strategic management of the company for it to be successful. In this regard, this paper aims to examine and compare the relative efficiency of two models, namely, supply chain operations reference (SCOR) and the balanced scorecard (BSC) for measuring the supply chain performance.

Design/methodology/approach

A quantitative research design is used and 800 individuals were recruited from the industrial sector in the Eastern Province of Saudi Arabia. A three-tier model was used based on BSC, data envelopment analysis (DEA), decision-making trial and evaluation laboratory (DEMATEL).

Findings

The findings have indicated that DMUs 2, 4, 6, 7, 9, 11, 13 and 15 were efficient, while the other DMUs were non-efficient. These non-efficient units were not aware of the training and development and learning and growth. The concern presents comparatively poor performance of employees at this stage even this issue was based on system performance and indifference of managers, establishing complexities in the long-term system. The relationships were determined among four dimensions of BSC by identifying the supply chain metrics and applying the DEMATEL approach.

Originality/value

The current study provides empirical support for the DEA network model concerning its preference and improved performance measurement as compared to BSC model.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

Keywords

To view the access options for this content please click here
Article
Publication date: 30 September 2014

Kristian Rotaru, Carla Wilkin and Andrzej Ceglowski

SCOR 10.0, released in late 2010, is the second version of the supply chain operations reference model (SCOR) to incorporate risk management processes, metrics and best…

Downloads
3564

Abstract

Purpose

SCOR 10.0, released in late 2010, is the second version of the supply chain operations reference model (SCOR) to incorporate risk management processes, metrics and best practices. Given the paucity of studies that have explored the coverage and integration of supply chain risk management (SCRM) within SCOR, the analysis and suggested improvements for SCRM are designed to enhance SCOR’s collaborative and coordinated management of supply chain (SC) risks. The paper aims to dicsuss these issues.

Design/methodology/approach

Critical analysis was used to analyse the coverage and integration of SCRM within SCOR 10.0.

Findings

Discrepancies were identified in how SCRM has been incorporated into SCOR, including issues with the hierarchical representation of SCRM processes, metrics, best practices and skills. These may potentially propagate into difficulties in embedding risk management processes within other SC processes, visualizing risk metrics in a SC’s value hierarchy and reconciling SCOR’s SCRM with organizational enterprise risk management.

Research limitations/implications

This paper is limited to theoretical analysis of the coverage and integration of risk in SCOR 10.0. Once the issues identified are remedied, the subsequent suggested improvements require validation through empirical testing.

Originality/value

Despite SCOR’s wide acceptance as a reference model in managing SC operations, there has been no investigation of its approach to SCRM. The analysis addresses this lack of prior investigation by analysing SCRM in the latest version, SCOR 10.0. The paper identifies deficiencies and suggests amendments regarding SCRM’s coverage and integration of SCRM.

Details

International Journal of Operations & Production Management, vol. 34 no. 10
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 1 February 2004

Samuel H. Huan, Sunil K. Sheoran and Ge Wang

Research on supply chain management can be broadly classified into three categories, namely, operational, design, and strategic. While many analytical and numerical models

Downloads
29625

Abstract

Research on supply chain management can be broadly classified into three categories, namely, operational, design, and strategic. While many analytical and numerical models have been proposed to handle operational and design issues, formal models for strategic planning are scarce. The supply chain operations reference (SCOR) model, developed by the Supply Chain Council, is a strategic planning tool that allows senior managers to simplify the complexity of supply chain management. It is firmly rooted in industrial practices and is poised to become an industrial standard that enables next‐generation supply chain management. This paper gives a brief introduction to the SCOR model, analyzes its strength and weakness, and discusses how it can be used to assist managers for strategic decision making.

Details

Supply Chain Management: An International Journal, vol. 9 no. 1
Type: Research Article
ISSN: 1359-8546

Keywords

To view the access options for this content please click here
Article
Publication date: 1 February 2004

Mathias Kirchmer

In the 1990s, companies focused on the design and implementation of their internal business processes to overcome functional barriers. The 2000s are about the integration…

Downloads
3364

Abstract

In the 1990s, companies focused on the design and implementation of their internal business processes to overcome functional barriers. The 2000s are about the integration between enterprises and inter‐enterprise processes, particularly the improvement of supply chain management and customer relationship processes, The major enabler is the Internet, which has resulted in entire networks of e‐business processes across various organizations. To design and implement those processes efficiently and effectively, more and more organizations use available industry standards in the form of reference models, e.g. the supply chain reference model (SCOR), the RosettaNet Standards, or software reference models. Unclear for many enterprises is how to use those standards. This article describes a comprehensive methodology for the use of reference models, to design and implement inter‐enterprise collaborations within value chain networks. The methodology leads to fast and reliable results in value chain improvement. It increases the performance of the implementation procedure and the resulting business processes.

Details

Journal of Enterprise Information Management, vol. 17 no. 1
Type: Research Article
ISSN: 1741-0398

Keywords

To view the access options for this content please click here
Article
Publication date: 15 June 2021

Yugowati Praharsi, Mohammad Abu Jami'in, Gaguk Suhardjito, Samuel Reong and Hui Ming Wee

Study in supply chain performance research on the shipbuilding industry is lacking. The purpose of this research is to study and provide guidelines to improve the…

Abstract

Purpose

Study in supply chain performance research on the shipbuilding industry is lacking. The purpose of this research is to study and provide guidelines to improve the performance of traditional shipbuilding supply chains in Indonesia.

Design/methodology/approach

The paper develops an empirical study gathered from a traditional shipbuilding industry, its suppliers, and customers. This study consists of three sections: the traditional shipbuilding industry, the suppliers, and the individual supplier scores. The internal and external performances in this study are measured using Supply Chain Operations Reference (SCOR) metrics. The SCOR model identifies five performance measurement attributes, including reliability, flexibility, responsiveness, cost and assets. Instead of using “responsiveness,” this study applies the schedule performance index, and supplements “cost” with the cost performance index in order to accurately reflect the traditional shipbuilding supply chains processes.

Findings

By analyzing SCOR metrics in the traditional shipbuilding industry, it has been found that the ideal shipbuilding supply chain metrics are order fulfillment, flexibility, asset turnover and total supply chain costs. The lowest performance metric value in the traditional shipbuilding industry is the cost of goods. Some improvements are proposed to lower the high cost of ship building. An integrated economic ordering system in collaboration with all the suppliers is one of the most effective ways to reduce the cost of the traditional shipbuilding supply chains. The implementation of SCOR metrics enables management to identify the critical issues to improve.

Research limitations/implications

The study applies SCOR metrics to improve the traditional shipbuilding supply chains performance. The study is limited because the data collected are based on one shipbuilding industry only.

Originality/value

To the author's knowledge, this is the first empirical analysis on the implementation of SCOR metrics to the traditional shipbuilding industry. The analysis to improve the traditional shipbuilding supply chains performance can provide managerial insights to other industries.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of 642