Diagnostics of the Assets Life Cycle Management Using Reference Models: a Case of a Telecommunications Company
MAGAZINE №2-3 (103) - 2021
AUTHOR POZDNYAKOVA V.E. - business analyst, Komus (Moscow, Russia)
CATEGORY Modern concepts and technologies in logistics and SCM Sourcing Supply chain management
ABSTRACT
The article discusses an approach to the development of an end-to-end lifecycle management process for network equipment for telecommunications companies.
The author provides the solid grounding for the relevance of this topic pointing out the increase of competition between the key players of the field of telecommunications services. Companies' existing network equipment lifecycle management processes are characterized by bureaucratization, low level of maturity of IT support and blurring of areas of responsibility.
Formalization and standardization of lifecycle management processes for network equipment from calculating the need for equipment to its retiring would allow reduce operating logistics costs and free up cash immobilized in stocks, which will lead to an increase in their competitiveness in the market.
On the basis of the reviewed Russian and foreign scientific literature a model of the lifecycle of network equipment was developed, as well as a set of supporting measures. The model pays equal attention to each stage of the lifecycle while taking into account the industry specifics.
The developed approach was tested on the example of one of the four main players in the Russian telecommunications market. Among the main results of the implementation of the proposed measures should be mentioned a reduction of clients penalties for the low level of services provided, reduce of logistics costs and the level of stock of equipment and spare parts in the supply chain of the company.
Keywords:
Analysis and Development of Digital Solutions in Supply Chain Management for the Pharmaceutical Industry Аmid a Pandemic
MAGAZINE №2-3 (103) - 2021
AUTHOR СHERNYAEVA Y.G. - Expert, Sberbank (Moscow, Russia)
CATEGORY Information technologies in logistics and SCM Supply chain management
ABSTRACT
During the pandemic, Russian pharmaceutical companies faced the problem of not being able to make quick decisions due to the lack of high – quality data and the problems of obtaining them in real time, which does not allow them to manage risks, conduct a reasonable analysis of consumer demand and make medium-term (and even more so-long-term) forecasts.
Digitalization provides flexibility in supply planning, taking into account the high volatility of demand. The effectiveness of digitalization of supply chains in previously existing studies is taken for granted, but during the pandemic, after receiving real negative experience, it became necessary to re-evaluate the importance of digital solutions in supply chain management, to consider digital solutions that allow evaluating the effectiveness of not individual participants in the supply chain, but the entire chain as a whole. An analysis of the existing digital solutions used in the pharmaceutical industry's supply chain management, namely the COVID-19 vaccine supply chain, is of strategic importance for the entire global community and all supply chains during the pandemic, as the economy will not recover as long as the public health crisis continues.
The article analyzes the international scientific literature devoted to the research of problems in the supply chains of the pharmaceutical industry, identifies key problems, as a digital solution in the management of the supply chains of vaccines from COVID-19, a digital twin is proposed, the conceptual model of which is described using the SCOR methodology, and the e-SCOR technology is proposed for the implementation of the Digital twin.
The article conceptually describes the application of the digital twin in the supply chain management of COVID-19 vaccines, taking into account the increase in chain transparency, demand forecasting, increased response in the supply chain, inventory, warehouse and transport capacity management, routing changes when replacing / increasing production locations, cold chain monitoring, risk management to improve the efficiency of supply chains, return flow management.
The research methods used in this article are analysis, comparison, generalization, graphical representation of data, reference models of processes, simulation modeling, methods of big data analysis, digital technologies.
Keywords:
The SCOR Framework as a Basis for the Model of the Company’s Logistics Cost and Service Level Optimization
MAGAZINE №4 (99) August 2020
AUTHORS RYBAKOV D.S.
CATEGORY Logistics service management Optimization and mathematical modelling Supply chain planning
ABSTRACT
The current state of management practice is characterized by the presence of a demand to improve the efficiency and effectiveness of logistics processes, on the one hand, and an insufficient level of application of one of the main tools for achieving this goal – optimization modeling, on the other. One of the main reasons of this phenomenon is the lack of a universal basis of the proposed optimization models that does not allow them to be applied widely enough in companies with different business process structures. The aim of the research was to develop a universal, based on the SCOR framework, integrated model for optimizing the logistics service of an enterprise. During the research process, the overview of the developed models for logistics service optimization, the analysis of the limitations of the logistics system optimization models, the adaptation of the map of SCOR process metrics have been carried out; the influence diagram of the optimization model components has been developed; the models of cost optimization and logistics service optimization have been combined into a single integrated optimization model; an algorithm for the optimal solution search has been elaborated; the implementation of the model and algorithm as a program for the solution search has been introduced. As a result, the integrated optimization model based on the components of the SCOR model has been developed, combining the cost and service level optimization models, using the outputs of one model as inputs for another when searching for an optimal solution. Building the optimization model on the basis of the SCOR model components provides universal character of its application, taking into account the set of costs, arising in a logistics system, including indirect ones, and the set of metrics of logistics service reflects the links between functional departments, the ability to maintain a level of total costs at the efficiency frontier, achieving the goal of the profit maximization at the same time, provides a link between the tactical and operational levels of decision-making, which together leads to an increase in the reasonableness and quality of management decisions, and creates prerequisites for the overall optimal functioning of an enterprise logistics system.
Keywords: SCOR optimization Optimization Models optimization modeling logistics service logistics costs logistics processes business process metrics performance indicators KPI
Using Digital Twins to Monitor FMCG Supply Chains
MAGAZINE №3 (98) June 2020
AUTHORS DYBSKAYA V.V., SERGEEV V.I.
CATEGORY Controlling Retail companies’ corporate logistics Modern concepts and technologies in logistics and SCM Supply chain management
ABSTRACT
It is shown that the concept of «Digital Twin» is becoming an increasingly popular method of solving key problems in supply chain management, in particular, when monitoring logistics business processes. A detailed analysis of literary sources and Internet resources on the subject of digital twins is carried out. The basic terminology, the terms of «Digital Twin» and of similar concepts, such as «digital footprint», «digital shadow», «digital thread», are given. The basic properties (characteristics) of digital twins and the advantages obtained by using this concept in supply chains are considered. The methodological aspects of the Digital Twin concept are analyzed both in the academic environment and in the context of the practice of large companies.
It is shown that the problem of monitoring consumer goods can be effectively solved using digital counterparts of the FMCG sector supply chains.
The main variants of the Supply Chain Digital Twin «design» are presented. An FMCG supply chain monitoring system using convergence of digital twins of products and processes in the chain is proposed. An example of the construction of a monitoring system in the supply chain of GHIOTTONE consumer goods using the digital counterparts of the main processes represented by the SCOR model is considered.
Keywords: digital twin supply chain digital transformation monitoring FMCG SCOR
Digital Transformation of Retail Supply Chains
MAGAZINE №4 (93) August 2019
AUTHORS DYBSKAYA V.V., SERGEEV V.I., SERGEEV I.V.
CATEGORY Analytics and reviews Modern concepts and technologies in logistics and SCM Retail companies’ corporate logistics Information technologies in logistics and SCM
ABSTRACT
The article is devoted to actual problems of digitalization in the network retail industry. The role of supply chain management (SCM) in network retail is shown, and attention is focused on key trends in SCM, many of which are associated with the digital transformation of supply chains. The best practices in the field of digitalization of supply chains of industrial and commercial enterprises are analyzed. In particular, the article considers the experience of digital transformations of large world corporations supply chains, such as HP and Nokia, as well as the analytical reports of the leading consultants in SCM companies Gartner, Deloitte and Accenture on digitalization of enterprises in various sectors of the economy.
Based on the analysis, key trends in retail digitalization were identified and methodological approaches to the transformation of a conventional chain retailer's supply chain into digital were identified. The main digital technologies used today in Russia by network retail operators are identified.
A methodological approach to the digital transformation of the supply chain of a network retailer based on process (SCOR) modeling is proposed. Using the example of the largest network retailers of the Russian Federation, Magnit, X5 Retail Group, and M. Video companies, a SCOR model of a typical supply chain of a retail chain enterprise is constructed, based on which a possible list of digital technologies, systems and devices corresponding to each process in determined models.
Keywords:
Diagnostics of Supply Chains Processes Using SCOR model
MAGAZINE №2(85) April 2018
AUTHOR Levina T.V.
CATEGORY Analysis in logistics and SCM Supply chain planning
ABSTRACT
The task of diagnostics of supply chain processes with the purpose to determine reserves and prospects of efficiency increase is the most time-consuming stage of strategic planning requiring accumulation and systematization of large amount of diverse information. Alongside with this, there are not many complex methods that could allow to implement the strategic planning cycle providing at the same time objective conclusions. One of these methods is the diagnostics of supply chain processes using supply chain operations reference model (SCOR model). The article provides analysis of publications devoted to problems when using SCOR; shows the main problems of the method interpretation and its application peculiarities. Also, the article suggests a procedure of supply chain processes diagnostics with SCOR model; the stages of this procedure are supported with an example. The article reveals that consistent implementation of the described stages allows to significantly simplify the procedure of supply chains strategic analysis providing at the same time consistency and reasonability of the decisions taken.
Keywords:
Improvement of metallurgical enterprise supply chain tactical planning
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.
Keywords:
Improving the Operative Planning Process of the Supply Chain of Metallurgical Enterprises
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.
Keywords:
Specific of supply chain planning of ferrous metallurgy companies
MAGAZINE №2 (73) April 2016
AUTHOR SOLODOVNIKOV V.V.
CATEGORY Corporate logistics industrial companies Logistics production Modern concepts and technologies in logistics and supply chain management Planning the supply chain
ABSTRACT
The article provides an overview of the current state of the steel industry in the world and in Russia in particular. It was noted that over the past decade the supply chain leading steelmakers have gone through a series of transformations that have radically changed the requirements for their management. A study of the evolution of supply chains of ferrous metallurgy companies are provided, analysis of the factors that demonstrate large-scale shift in the global steel markets is presented. The paper examines the structure of a typical supply chain of a ferrous metallurgy company. The generalized model of the supply chain, including mining and metallurgical complexes based on the upgraded SCOR notation is proposed.
Increase in attention to the creation and development of partnerships/strategic alliances between players of metallurgical market and the joint efforts of customers and producers to stimulate growth and innovation opportunities is highlighted. The main features of metallurgical production are analyzed in terms of their planning: the main bottleneck of production, production cycle, volatility of metallurgical processes, production campaigns. The analysis of the key challenges for the steel companies for the coming years are presented: the excess of supply over demand, a large amount of excess capacity. The following areas of improvement are proposed: cost minimization, differentiated service for customers, standardization and transparency of processes and operations in the supply chains, the development of new technological products, reducing emissions. The appropriate improvement tools are proposed: methodology change based on the principles and processes of Supply Chain Management as well as IT tools to support planning of supply chains of steelmakers – Advanced Planning and Scheduling systems for Metals. On the basis of practical experience estimates of planning processes organization impact in accordance with best practices and appropriate information support to key performance indicators of companies are provided.
Keywords:
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.
Keywords:
