MAGAZINE №2(85) April 2018

AUTHOR SOLODOVNIKOV V.V.

CATEGORY  Supply chain planning Industrial companies’ corporate logistics

ABSTRACT

This article is a continuation of the series of articles devoted to the creation of industry-specific practical methodology of supply chain planning of industrial enterprises (case of iron and steel complexes).

The article studies the process of tactical supply chains planning of metallurgical companies. Based on the analysis of SCOR and GSCF processes, the following is proposed: improved process of tactical supply chains planning; the algorithm of optimal balancing of supply and demand in supply chains of industrial enterprises determined on the basis of the interactive layer-by-layer optimization method allowing to reserve logistic capacities for priority orders and to carry out the optimal distribution of the remaining capacities between other orders.

Scientific survey is based on fundamental and applied developments of domestic and foreign scientists in the field of economic theory, management theory, logistics theory and supply chain management, methods of mathematical modeling, business process modeling methodology, system analysis, operations research and expert evaluation methods.

As a result, the study reveals the shortcomings of tactical supply chain planning description in SCOR and GSCF; and proposes an improved process and method of tactical planning. 

 Electronic version

 Keywords:  

MAGAZINE №1(84) February 2018

AUTHOR SOLODOVNIKOV V.V.

CATEGORY  Supply chain planning Industrial companies’ corporate logistics

ABSTRACT

This article is a continuation of the series of articles devoted to the creation of industry-specific practical methodology of supply chain planning of industrial enterprises (on the example of iron and steel complexes).

The article presents the results of a survey of the process of operational planning of supply chains for metallurgical enterprises. Based on the analysis of the processes of SCOR and GSCF the following is proposed: an improved operational planning process of supply chains; the method based on the organization process of independent planning of the various supply chain stages in parallel which allows to avoid the situation of unintentional and irrevocable removal of proposals of different planners; a special synchronization algorithm for the plans of various planners. The paper examines the issues of sustainability and risks of the plans.

Scientific survey is based on fundamental and applied developments of domestic and foreign scientists in the field of economic theory, management theory, logistics theory and supply chain management, methods of mathematical modeling, business process modeling methodology, system analysis, operations research and expert evaluation methods.

The study results reveal deficiencies of the description of the operational planning of the supply chain in SCOR and GSCF; suggests an improved process and method of operational planning. In conclusion, an example of successful implementation of the developed approach at TimkenSteel is given.

 Electronic version

 Keywords:  

Published in Supply chain planning
Friday, 29 April 2016 10:31

Demand planning in supply chains

MAGAZINE №1 (72) February 2016

AUTHOR  SOLODOVNIKOV V.V. 

CATEGORY   Planning the supply chain 

ABSTRACT

The paper analyses the demand planning process from supply chain management perspective. The place of the analyzed process in SCOR and GSCF models is investigated. Main steps of the process are clarified: analysis and preparation of historical data; statistical forecasting; manual expert correction of the forecast; forecast verification and confirmation; quality monitoring of forecast and process. Approaches to process data organization are investigated; terminology in this area is presented. The key forecasting methods are analyzed including: qualitative/subjective, cause and effect, time series. Key forecasting models for demand planning in supply chains are systemized. The importance of the quality monitoring of forecasts is highlighted. Main methods of determination of exceptional situations are presented. Key requirements for informational systems of demand planning are formalized. Overview of popular software tools for demand planning is presented.

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Published in Supply chain planning

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