Search published articles


Showing 2 results for Tegbar Tsega

Tenaw Tegbar Tsega, Thoben Klaus-Dieter, Rao D.k. Nageswara, Bereket Haile Woldegiorgis,
Volume 0, Issue 0 (IJIEPR 2024)
Abstract

So far, a number of models for measuring supply chain performance (SCP) have been proposed. The supply chain operation reference (SCOR) model has been suggested as the most important model for the manufacturing industry. However, none of the models, including the SCOR model, are complete enough for measuring the overall SCP of manufacturing firms. In practice, the SCOR model is used only in some of the many steps required to measure the overall SCP. In addition, it lacks features that enable it to determine which supply chain components have the most or least contribution to the overall SCP. Furthermore, even though the model is meant to be a reference mode-as its name implies-it does not include numerically set performance standards for the various levels of SCP achievements that may be used for benchmarking. This study develops a complete supply chain operations measurement (C-SCOM) model that has many features. It is developed mainly by combining the best features of the existing models extracted from 91 high-standard articles employing a systematic literature review (SLR) approach. The proposed model is unique in its explicitness for real-world industrial applications. It consists of four main components and provides users with the ability to calculate the overall SCP, conduct gap analysis, conduct benchmarks, and link the outputs of the gap analysis to existing supply chain management practices. Validation has been performed using the fuzzy Delphi method, with 17 experts from the manufacturing industry providing their opinions. The validation confirms that the proposed model could tackle the real problem that manufacturing firms have due to the lack of a comprehensive and user-friendly SCP measurement model. Finally, this paper contributes to the body of knowledge by presenting an alternative approach to measuring the performance of the manufacturing supply chain.

Tenaw Tegbar Tsega, Thoben Klaus-Dieter, Rao D.k.nageswara, Bereket Haile Woldegiorgis,
Volume 35, Issue 2 (IJIEPR 2024)
Abstract

Ethiopia has made enormous efforts in the leather industry to gain manufacturing capabilities that can be scaled up to other sectors. Those efforts have resulted in the industry shifting its role from raw material supplier to producer of value-added products for the global supply chain (GSC). However, the industry has faced severe challenges in generating the expected revenue, utilizing capacity, and finally coping with the global competitive environment. Studies reveal that manufacturing firms tackle similar challenges by improving their supply chain performance (SCP). The challenges that appeared in the leather industry of Ethiopia could also be solved by improving its SCP. Nonetheless, there is a lack of study on the basic characteristics and SCP of the industry after it has shifted its role. The main objective of this study is, therefore, to measure the SCP to know where it stands using a bench mark and identify the elements that contribute considerably to the low overall SCP in order to lay the foundation for subsequent improvement. To achieve the research objective, data was collected from primary and secondary sources through a questionnaire, survey, observation, and focus group discussion. The data is analyzed using the supply chain operations reference model (SCOR version 12.0). Accordingly, the overall SCP is found to be 67.33%, suggesting an average rating as per the set benchmark. The source process is identified as the most influential element for the overall low SCP, with a percentage gap of 17.23%. Taking corrective action on the identified elements could help the industry overcome the existing challenges by improving its SCP.


Page 1 from 1