This article presents an approach on the organization of spare parts inventory management for maintenance support using the Deming-Shuhart - PDCA principle, supplemented with Lean Methodology tools: SMART objectives, continuous improvement, “5 Why?” method, Ishikawa diagram. The approach includes the consistent alignment of the strategic spare parts management goal, coordinated with the overall maintenance strategy, spare parts inventory management system by database creation, spare parts inventory model development, delivery schedule agreement, business processes and KPIs development, plans implementation, results monitoring and follow-up actions adjustment. The information system is a basis for the effective spare parts management operation. Continuous improvement is provided by the possibility of constant movement through the PDCA cycle.
The paper presents the research of features to determine the best solutions for the distribution of the goods in the warehouse network problem on many criteria. The authors have shown that the synthesis of the following methods or approaches can be applied effectively to a network for storage of optimization decisions. 1) Simulation of random orders by Monte Carlo method at a regular interval of supply planning time. 2) Analytical hierarchy process to compare the importance of particular criteria, taking into account the decision maker's preferences. 3) Linear programming in order to minimize transportation and storage costs of the goods (in the format of apriori played out random shop’s orders scenarios to be analyzed in relation to the possible adoption of alternatives, and order execution strategies). The synthesis of these methods makes it possible to formalize a set of alternatives for the organization of deliveries from the central warehouse to the distribution warehouse and shops. The task distribution of the goods in the warehouse network is formalized as the problem of multicriteria selection. It is the implementation of this approach to optimization solutions for the distribution of goods in the warehouse network is presented in this article. As partial criteria are considered: 1) the need to reduce the average daily stock levels, pallets (so the figure would be minimized); 2) the requirement to reduce the average daily cost of storage and cargo handling, USD (thus, the rate and should be minimized); 3) the need to reduce the average daily transport expenses, USD (and this figure will be reduced). Approach to optimize the distribution of goods in the warehouse network, presented in this article has the following characteristics. Along with the procedures of optimization in the article presented a special modification of indicators of partial criteria, which, in contrast to the traditional approaches of the theory of multicriteria optimization, allows more adequately take into account the preferences of the decision maker. This is achieved by the developed synthesis procedures to be taken into account when optimizing the efficient approaches to providing indicators such as in the form of the theory of multicriteria optimization, and in the format of the method of analytic hierarchy. The paper reverals the procedure for determining the best solution on the basis of a) traditional and generalized selection criteria (multiplication, Hurwitz, maximin); b) the method of analytic hierarchy; c) modified selection criteria. The paper also gives recommendations how to adequately take into account the preferences of decision-makers on the importance of particular criteria and also analyzes the impact of changes in their structure on the ranking of alternatives for different selection criteria.
Research of new efficient optimization decisions related to the distribution tasks of goods in the warehouse network is particularly relevant today. The purpose of this article – to help practitioners working in this field in the development of new approaches and methods for finding the best solutions in relation to problems of this type that will use existing hidden reserves of improving the efficiency of such systems. In particular, we will focus on the possibility of taking
into account in the optimization of goods distribution strategies of a number of important factors, such as: 1) the ability to select the period of time for supply planning by orders of stores; 2) the ability to simulate orders from stores with the defined probability distributions for random amounts of such orders; 3) the ability to adapt to the preferences of the selection decision maker; 4) the possibility of reducing transport costs for deliveries, using solutions such as transport problems played out for random order value. The article presents such procedures, which correspond with the task of determining the best solution for the distribution of the goods in the
warehouse network problem on many criteria. These procedures involve the synthesis of these optimization processes during the selected period to plan the supply of solutions. 1) Simulation-playing with random orders to stores this next period at the Monte Carlo method. 2) The use of analytic hierarchy process to compare the importance of particular criteria for decision-makers. 3) Minimization the cost of transportation and storage of goods in the form of a linear programming problem (for simulated random orders in relation to the analyzed alternatives to the possible adoption of the strategy and execution of orders). This article shows that the implementation of a set of procedures mentioned would allow formalizing the task of selecting the solution as the problem of multi-criteria optimization. After that, choose the best solutions can be carried out on the basis of traditional theory, and taking into account the adaptation
of such a choice to the decision maker's preferences. Such selection procedures will be presented in a separate article.
Integrated planning implementation is concerned with some costs, but what about benefits? This article covers the subject of calculation of economic impact of integrated planning. Proposed method suggests to consider interdependence of supply chain KPIs, and start measuring them at the early stages before implementation. This will help to avoid only qualitative estimates, but apply specific quantitative ones as well.
The offered paper continues the research on optimization models of production and finance management in a manufacturing company. Problem setting as well as application of the models with dynamic management of fixed and working capitals are shown on the numerical example of the OAO Rot Front chocolate factory (a publicly held company under the laws of the Russian Federation). The study is limited to the production plan calculation for only one product family (halvah) with quite a short line. The volume of sales of the product group under consideration in units is significant. All necessary inputs are defined with using the information provided by the chocolate factory as well as the data of the open sources on the Internet in case of some information lack. The seasonality in the consumption of the chocolate products is denominated in the scheme of work in the factory. All task calculations are executed via Excel Solution Suite in the Microsoft Office Component Solutions. Except for optimal production programme selection with limited amount of fixed and current capitals, optimal solutions found in dynamic models for OAO Rot Front chocolate factory are evaluated for their stability (robustness) to inflation impact. The change of sale prices for finished goods and purchasing prices for raw materials are taken into account. Moreover, the level of inflation able to cause the reduction of optimal production volume is specified.
Optimization procedures of modern supply chains often require the consideration of a number of special factors that must reflect simulated cash flows so that the solutions found meet academic requirements in inventory management. The article evaluates the profitability of deliveries for the modified EOQ-model, in the format of which it will be possible to envisage the impact of the following factors. 1) The previously agreed possibility of deferring payment for an order. 2) The concept of the time value of money in the analysis of the cash flows of the simulated supply chain. 3) For incoming payments it is necessary to take into account that the proceeds from the sold goods will arrive with a predetermined delay (from the mo-ment of its realization time). 4) The payment of storage costs is realized in the form of leasing the corresponding places in the warehouse, and with a delay for a specified time in relation to the middle of the reordering interval (in contrast to the traditional theory positions in the format of classical EOQ-models of inventory management).
In the case of such models, the existence of an estimate for the cost-effectiveness of the cash flows of the simulated supply chain will make it possible to use the new modified EOQ formulas taking into account the abovementioned factors. This will allow to optimize the reserves taking into account the time value of money in accordance with the requirements of financial analysis and financial mathematics. The research was carried out in relation to important for business situations of efficient supply, when the specified deferrals for payment of an order allow you to pay it out of the pro-ceeds at the reorder intervals. Therefore, in order to simulate such processes, a necessary and sufficient condition has also been established in the paper, that must be imposed on the duration of such a delay in order to ensure the possibility of the specified pay-ment of the order from the proceeds. The modification of such conditions is presented if, during optimization, it is necessary to take into account the need for payments from the revenue for payment of storage costs, as well as the required additional deductions related to maintaining the business processes. The features of supply optimization procedures are illustrated on the basis of numerical simulation results.
Practical aspects of reorganization of management system of a company based on SCOR model is provided in the article. Experience of Russian metallurgical company – pipe producer is used an example. The development program of the company is analyzed. It is highlighted that there is a need for organization of effective management system which is in accordance with contemporary conditions.
The key stages of improvement with description of achieved results are analyzed including: development of strategic card of goals based on balanced scorecards principles; modelling of key business processes and their optimization according to strategic goals including definition of efficiency merits and comparison analysis with world leaders; reforming of organizational structure including personnel trainings, motivation system preparation based on KPIs; information system implementation.
As part of the development of the target process model consolidating business processes necessary to ensure compliance with the basic operations are defined. It is highlighted that each process has a definition based on the elements of the upgraded model of Zachman Enterprise Architecture Building.
It was noted that the introduction at pipe producer modern software modules of planning and scheduling (Advanced Planning and Scheduling - APS) allowed moving to the construction of multi-level supply chain management processes, providing a unique competitive advantage of the company.
In conclusion, there are the results achieved in the whole pipe company, recommendations for the implementation of improvements.
The structure of optimal strategies that maximize the total expected profit in ser-vicing portfolio in the format of individual links in the supply chains of any regulations for postponements of payments of income and risk of relapse. For the first time draws attention to the fact that the procedure / rules of such optimization does not change when adjusting for the risks of contractual amounts under orders of the portfolio. It is proved that the optimal strategy in the format of such models will always be just so-called optimal Rm-rule.
The article is dedicated to the analysis of the logistics challenges that appear in course of omni-channel retailing. The authors review evolution of the retail technologies over the recent decades resulting in the omni-channel development. Typical problems of the omni-channel retail logistics come under close scrutiny. Based on the analysis of their causes, the authors suggest a set of measures aimed at the retail logistics improvement in case customers are proposed wide range of options for products ordering and delivery.
The role of the International Training Centre in the field of logistics (ILC) HSE in the creation of the national school of logistics, additional education of personnel of the companies on logistics and supply chain management (SCM), logistics Russian certification of the standard three-tier European certification procedure. ILC reflect the contribution in the context of the formation of a new scientific direction "Logistics & SCM" and the development of three generations of state educational standards of higher professional education in these areas of training for the country's economy. A list of the most important events on the international and Russian level in the field of logistics, which was carrying ILC: international conference (in particular Russian-German Forum «DR-LOG»), projects to create transport and logistics infrastructure. The results of the participation of experts in the development of ILC scientific and practical direction, "Logistics and Supply Chain Management" in the Russian economy.
In the article we describe a conceptual model, goals, tasks and functions of logistics controlling. Some results of German logistics controlling survey of Kuepper and Hoffmann are shown. We also announce the first results of our Russian-German empirical survey of logistics controlling which was conducted in cooperation of International Training-Center for Logistics (www.mclog.ru) and German consultancy Barkawi Management Consulting (www.barkawi.de) in 2011.
The article shows the dynamics of the Russian transport and logistics services market in the economic crisis. The changes associated with the negative tendency affects mainly the activities of the real estate companies specialized in the storage facilities. That is why the paper is focused on the consideration of the warehouse real estate market development, particularly in the Moscow region. In the paper special attention is paid to the investigation of the tendencies in the market of class A warehouses. It is concluded that the stable warehouse real estate market will continue its further development in the future. Analysis of the current business conditions shows the reduction of the rental rates in dollar currency in 2015 in comparison with the rates in 2013-2014 by 35-45%. The reason is the fluctuations of the ruble. The paper provides the priority directions of the logistics market development in the economic recession period in the Russian Federation.