Total Cost of Ownership in the Context of Supply Chain Management: An Instructional Case

2017 ◽  
pp. 185-192
Author(s):  
Paulo Sérgio Lima Pereira Afonso
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Total Cost Of Ownership ◽  
Chain Management ◽  
Total Cost ◽  
Cost Of Ownership

Pengukuran Kinerja Supply Chain Menggunakan Supply Chain Operation Reference (Scor®) (Studi Kasus Koperasi Baitul Qiradh Baburrayyan)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Raysa Aleyzia ◽  
Hasan Yudie Sastra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Six Sigma ◽  
Green Beans ◽  
Chain Management ◽  
Total Cost ◽  
Target Value ◽  
Chain Operation ◽  
Cost To Serve ◽  
Supply Chain Operation

Manajemen supply chain yang tidak maksimal akan mempengaruhi kinerja suatu perusahaan. Di Aceh Tengah terdapat suatu koperasi yaitu Koperasi Baitul Qiradh (KBQ) Baburrayyan yang sudah menerapkan manajemen supply chain. Koperasi ini bergerak di bisnis perdagangan biji kopi (green bean). Penelitian ini bertujuan untuk mengukur kinerja supply chain dari KBQ Baburrayyan. Metode yang digunakan adalah SCOR® dengan praktik perbaikan Convergence of SCOR® with Lean and Six Sigma. Target kinerja yang diperoleh untuk total cost to serve adalah sebesar 94,71% dari nilai target 65,00% dan untuk return on supply chain fixed asset adalah sebesar 1,60 dari nilai target 2,50. Hasil yang diperoleh dari penggunaan praktik tersebut adalah terdapat 8 akar penyebab waste di antaranya kurangnya tenaga pengawas, training/briefing belum maksimal, kurangnya kepedulian tentang pentingnya K3, layout yang kurang efisien, belum adanya unit penyuluhan, alat yang masih sederhana, pekerjaan yang monoton, dan tidak dilarang secara tegas.   Supply chain management that is not optimal will affect the performance of a company. In Central Aceh there is a cooperative namely Koperasi Baitul Qiradh (KBQ) Baburrayyan which has implemented supply chain management. This cooperative is engaged in the business of trading in green beans. This study aims to measure the supply chain performance of KBQ Baburrayyan. The method used is SCOR® with the practice of improving Convergence of SCOR® with Lean and Six Sigma. The performance target for total cost to serve is 94.71% of the target value of 65.00% and the return on supply chain fixed assets is 1.60 of the target value of 2.50. The results obtained from the use of the practice are that there are 8 root causes of waste including lack of supervisors, training / briefing is not maximal, lack of concern about the importance of K3, inefficient layouts, absence of extension units, simple tools, monotonous work, and not strictly prohibited.

Total cost of ownership along the supply chain: a model applied to the tinting industry

2014 ◽  
Vol 26 (6) ◽  
pp. 427-437 ◽  
Author(s):  
Federico Caniato ◽  
Stefano Ronchi ◽  
Davide Luzzini ◽  
Olimpio Brivio
Keyword(s):  
Supply Chain ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership

scholarly journals e-Procurement and Purchase Algorithm for Supply Chain Management

2017 ◽  
pp. 32-36
Author(s):  
Himanshu Sekhar Moharana ◽  
J. S. Murty ◽  
D.K Sahoo ◽  
K. Khuntia
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Markov Decision Process ◽  
Decision Process ◽  
Decision Making Process ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Total Cost ◽  
Mathematical Algorithm ◽  
Markov Decision

A technique is developed for use in supply-chain management that assists the decision-making process for purchases of direct goods. Based on projections for future prices and demand, Request for quotes are constructed and quotes are accepted that optimize the level of inventory each day, while minimizing total cost. The problem is modeled as a Markov decision process, which allows for the computation of the utility of actions to be based on the utilities of consequential future states. Dynamic programming is then used to determine the optimal quote requests and accepts at each state in Markov Decision Process. A mathematical algorithm for purchasing can also be developed which is suitable for manufacturing companies to solve the supply chain management problems.

scholarly journals Responding to COVID-19 Supply Chain Risks—Insights from Supply Chain Change Management, Total Cost of Ownership and Supplier Segmentation Theory

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 23 ◽  
Author(s):  
Remko van Hoek
Keyword(s):  
Supply Chain ◽  
Change Management ◽  
Management Theory ◽  
Purchase Price ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership ◽  
Complex Picture ◽  
Reduce Risk ◽  
Supply Chain Risks

The COVID-19 pandemic is causing risks and disruptions in most supply chains. As supply chain managers are responding to these risks, several theories may inform those efforts. In this paper, we explore across seven companies in different industries, supply chain positions and countries, how lessons from total costs of ownership, supplier segmentation and supply chain change management theory may apply to efforts to respond to COVID-19 supply chain risks and disruptions. The findings indicate that the pandemic forces companies to consider total costs more holistically, beyond the purchase price, and that collaboration with suppliers and developing new sources of supply is of growing importance to reduce risk in the supply chain. However, the change involved in responding to risks will take time, and for many companies, the hardest work is still ahead. Our findings also paint a more nuanced and complex picture than offered in the popular press; the focus on nearshoring does not necessarily mean leaving China and the switch in total costs of ownership may only be partial and temporal. Limitations of the theories considered are identified and resulting suggestions for managers and further research are developed.

scholarly journals An Agricultural Products Supply Chain Management to Optimize Resources and Carbon Emission Considering Variable Production Rate: Case of Nonperishable Corps

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1505
Author(s):  
Mohammed Alkahtani ◽  
Muhammad Omair ◽  
Qazi Salman Khalid ◽  
Ghulam Hussain ◽  
Biswajit Sarkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Rate ◽  
Carbon Emission ◽  
Agricultural Products ◽  
Plant Production ◽  
Production Model ◽  
Data Set ◽  
Chain Management ◽  
Total Cost

The management of the man–machine interaction is essential to achieve a competitive advantage among production firms and is more highlighted in the processing of agricultural products. The agricultural industry is underdeveloped and requires a transformation in technology. Advances in processing agricultural products (agri-product) are essential to achieve a smart production rate with good quality and to control waste. This research deals with modelling of a controllable production rate by a combination of the workforce and machines to minimize the total cost of production. The optimization of the carbon emission variable and management of the imperfection in processing makes the model eco-efficient. The perishability factor in the model is ignored due to the selection of a single sugar processing firm in the supply chain with a single vendor for the pragmatic application of the proposed research. A non-linear production model is developed to provide an economic benefit to the firms in terms of the minimum total cost with variable cycle time, workforce, machines, and plant production rate. A numerical experiment is performed by utilizing the data set of the agri-processing firm. A derivative free approach, i.e., algebraic approach, is utilized to find the best solution. The sensitivity analysis is performed to support the managers for the development of agricultural product supply chain management (Agri-SCM).

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