Tactical Planning Research Articles

Application of the Multiple Regression Method in Football Tactical Analysis

Aiming at the unreasonable problem of current football tactical analysis, this paper studies the application method of the multiple regression method in football tactical analysis. Build a football tactical rehearsal model, optimize player information and tactical analysis management functions, and analyze football player status. Using the multiple regression method to choose the appropriate position of the players, make the football attack and defense plan. At the same time, the application of the multiple regression method to the analysis of football tactics can better select the optimal tactical plan, to ensure the rationality of football tactical selection.

A multi-objective robust possibilistic programming approach for sustainable disaster waste management under disruptions and uncertainties

Disasters can generate huge amounts of waste, based on their nature and intensity. The debris could overburden existing waste processing facilities, disrupting response and recovery phase efforts. If disaster waste is not properly managed, it can have serious public health and environmental consequences. This research develops a two-stage framework to assist disaster waste managers in making effective decisions in a post-disaster environment. The proposed framework's first stage efficiently assesses disruption risk and allocates waste to temporary waste management sites in a cost-effective manner during the response phase, while the second stage assists in waste processing following the triple lines of sustainability: economy, environment, and society during the long-term recovery phase. Further, the chaotic environment of a disaster makes it difficult to access information, compromising the effectiveness of waste management decisions; thus, a Me measure-based robust possibilistic programming solution methodology has been developed. A case study is used to validate the suggested framework and solution approach. The findings show that by incurring 15.1% greater costs, desired level of social and environmental goals may be attained. Further, it is found that the higher priority of economic objective makes a minimal number of waste processing facilities operational while the high priority of social objective makes maximum facilities operational which exponentially increases the total cost of waste management. The proposed framework will assist policymakers in developing tactical and strategic plans for disaster waste management.

Участие калмыков в Русско-турецкой войне 1768–1774 гг.: вопросы организации и обеспечения

Introduction. The article reviews events to have aimed at preparing Russia’s military for the war against Turkey in the late 1760s. The former included both general strategy development and involvement of Kalmyk troops. Special attention was paid to the preparation of orders on Kalmyk cavalry’s mobilization, its distribution across Russian army groups, elaboration of tactical plans, provisioning and allowances. Goals. So, the study aims at answering the latter set of questions. Materials and methods. The paper analyzes documents and materials form the National Archive of Kalmykia, Archive of Foreign Policy of Imperial Russia, and a number of government decrees published in Collections of the Imperial Russian Historical Society and the Complete Collection of Laws of the Russian Empire. Results and conclusions. Having been the only combat effective force of Imperial Russia in the Lower Volga and North Caucasus, the Kalmyk Khanate was given utmost significance. In early April of 1769, Viceroy Ubashi gathered almost the whole of his troops in Yashkol area. The corps of Lieutenant General M. J. von Berg enforced with a ten thousand Kalmyk cavalry led by Prince Kirip was largely responsible for the Crimean direction. Another ten thousand cavalry group under the command of Viceroy Ubashi was to join the corps of Major General J. F. von Medem and suppress landlords of Kabardia that tended to support Turkey. After the departure of the twenty thousand troops all uluses (domains) were ordered to stay on the right bank of the Volga. But the subsequent campaign of 1769 unexpectedly witnessed a series of conflicts to have resulted from insufficient allowances and provisioning of Kalmyk military units.

Моделирование и проектирование информационно-аналитических производственных процессов на основе нейронечетких темпоральных сетей Петри

The article is devoted to the issues of modeling and designing information-analytical processes corresponding to the production and technological processes at the enterprise. In the modern conditions of the functioning of the market, the enterprise faces important tasks of embedding in global supply chains, responding to an increase in the need for personalized products and, most importantly, reducing costs and improving product quality. In addition to solving these problems, the enterprise has to deal with such problems as: overproduction, waiting and wasted time, defects and marriage. Despite the fact that economic efficiency is put at the forefront, in order to ensure the sustainable development of an enterprise, it is necessary the criteria of environmental friendliness, accident-free operation and social efficiency. Enterprises, whose competitive advantages are flexibility and response speed to market needs, require tools for the operational management of production and technological processes. For effective functioning within a complex system, planning and implementation of production and technological processes must be supported by appropriate information-analytical processes that provide the collection and analysis of information, as well as modeling and making control decisions for the production and technological process. Production management is carried out in the form of strategic, tactical and operational planning, which puts forward additional requirements for modeling tools and management decision support. A variety of neuro-fuzzy Petri nets with temporal fuzzy neurons is proposed. An example of building a model of the production process and the corresponding information-analytical processes is considered. The developed specialized software for modeling production and technological processes and the implementation of information- analytical processes, including modules for forming an ontological model of a complex system and processes, obtaining data, a neural network supervisor, building a model of a production- technological process and corresponding information-analytical processes using the mechanism constructors based on neuro-fuzzy temporal Petri nets is considered.

A novel hierarchical cooperative merging control model of connected and automated vehicles featuring flexible merging positions in system optimization

Merging sections on freeways are typical bottlenecks for traffic efficiency and safety. The connected and automated vehicles (CAV) technology has great capability in improving traffic performance of merging bottlenecks. Current approaches of system optimal cooperative merging control assume single fixed merging point (CMC-SMP) for on-ramp vehicles to reduce the complexity of their models. Non-fixed merging positions have the potential to further improve merging operations but may lead to the computational explosion. To solve this core contradiction, this study proposes a novel hierarchical system optimal cooperative merging control model considering flexible merging positions (CMC-FMP) to realize safe and efficient merging processes. The upper-level – the tactical planning model is formulated as a non-convex mixed integer quadratically constrained programming, aiming at minimal total travel time in the control zone. It optimizes not only the merging sequence but also vehicles’ critical states in merging processes, such as the state of on-ramp vehicles when they merge. The lower-level - the motion planning model generates feasible trajectories and the next step actions for every vehicle. A Monte Carlo Tree Search-based decomposition algorithm (MCTS-DA) is further designed to improve the computational efficiency of the tactical planning model. Meanwhile, solutions of MCTS-DA are proved to have good optimality compared to the direct solving method. A batch-based scheme is developed to realize real-time control. The results reveal that the average delays of CMC-FMP are remarkably lower than those of CMC-SMP. Especially in low on-ramp ratio scenarios, the difference in improvement can reach 64%. Furthermore, the sensitivity analysis indicates that large safe merging margins and short merging sections are disadvantageous for traffic efficiency for the merging flow controlled by CMC-FMP.

The Subtle Art of Effecting a Four-day Workweek to Drive Performance

Organizations have long been experimenting with shortened workweeks. This study investigates the finer points that can make a four-day workweek efficacious. Though studies have revealed that the four-day workweek delivers well on productivity goals, extant literature has not yet examined the details of how to bring about a transformational change in employee performance as a result of the change. The current study empirically explores different nuanced factors that can translate a strategic vision into an achievable tactical plan, one that hones the skills and learning of employees. The present study takes into consideration psychological well-being as a possible moderator. A sample of 604 employees was taken from the service and manufacturing companies in India. Partial least squares structural equation modelling (PLS-SEM) has been used to analyse the inter relationships among the variables. The findings revealed that the following factors had a significant effect on the performance of employees practising the four-day workweek: ‘strategic planning at work’, ‘viewing the company as a brand’, ‘continually connecting’ and ‘inspiring happiness at work’. The various implications of this study are discussed in depth in light of these findings.

Retail store layout optimization for maximum product visibility

It is well-established that increased product visibility to shoppers leads to higher sales for retailers. In this study, we propose an optimization methodology which assigns product categories and subcategories to store locations and sublocations to maximize the overall visibility of products to shoppers. The methodology is hierarchically developed to meet strategic and tactical layout planning needs of brick-and-mortar retailers. Layouts in both levels of planning are optimized considering eligibility requirements and complete set of shopper paths, thus, they successfully capture the unique shopping behaviour of consumers in a store’s region. The resulting mathematical optimization problem is recognized as a special instance of the well-known Quadratic Assignment Problem, which is considered computationally as one of the hardest optimization problems. We adopt a linearization technique and demonstrate via a real-world numerical example that our linearized optimization models substantially improve the store layout, hence, can be used in practical applications as a vital decision support model for store layout planning.

The Assessment of the Comparative Efficiency of Various Reforms of High-income Countries

The acceleration of the processes of the globalization in the world economy, that tights and deepens the integration of the economies of different countries, leads to different challenges for the authorities of those countries. Hence, the governments of those countries develop and implement various concepts, strategic and tactical plans. The development and the practice of planned system and its ingredients are implemented in different directions of social life such as economic, political, institutional, social through systematic reforms. In modern literature the assessment of abovementioned reforms is implemented by different international and nongovernmental organizations /World Bank, International Monetary Fund, UNO, etc./ through different indexes /Economic Freedom, Democracy, Legatum prosperity, KOF globalization Indexes, etc/. The main objective of our research is to develop new methodology of the new integral index that we will give us an opportunity based on indexes that quantitatively assess reforms in different directions and create one more integral index that will mostly express the comparative efficiency of various reforms in those countries for 2009- 2015. The formation of the new integral index is based on econometric methods (cluster and factor analysis). The analysis of the Integral Index of Life Quality, helps to outline the countries that have implemented reforms with high and less efficiency, directions that provide high effectiveness and areas that reduce the efficiency.

Integrating tactical planning, operational planning and scheduling using data-driven feasibility analysis

Supply chain operations and scheduling are well-studied problems in the literature. Although these problems are related, they are often solved sequentially. This uncoordinated approach usually leads to sub-optimal solutions. This paper proposes a methodology for integrating scheduling operations into the supply chain network, motivated by the available enterprise data, and feasibility analysis. Existing literature on integrated models for addressing the supply chain is reviewed and classified. Then the mathematical model formulation for each level is discussed, after which the proposed data-driven integrated framework is described. The methodology is tested on two different case studies of varying dimensions. For each case study, the solution solves a multi-objective problem with the overall aim of an optimal solution that is robust towards achieving optimal cost while keeping customer satisfaction in mind.

Tactical capacity planning in an integrated multi-stakeholder freight transportation system

This study focuses on investigating the tactical planning of an integrated multi-stakeholder system in which revenue management concepts including shipper categories, demand classification, penalty costs for demand satisfaction outside of prescribed time-windows, and offering services with bundles are addressed. The aim of the tactical planning in this system is to design the demand and supply sides of this integrated system simultaneously. To this end, a scheduled service network design formulation on a space-time network is developed to build a transportation plan by selecting profitable requests from non-contract shippers, selecting a subset of individual and bundled transportation scheduled services, and identifying the itineraries of the shipments on the selected service network with the objective of maximizing the profit of the system. Using realistic-size instances, an extensive computational analysis is performed on the split and unsplit shipment-flow versions of the problem. The aim of the analysis is twofold: 1) assess the computational effort required to solve the developed optimization model and 2) investigate the structural characteristics of the obtained tactical plans for different system settings.

An iterative heuristic for passenger-centric train timetabling with integrated adaption times

In this paper we present a method to construct a periodic timetable from a tactical planning perspective. We aim at constructing a timetable that is feasible with respect to infrastructure constraints and minimizes total perceived passenger travel time. In addition to in-train and transfer times, our notion of perceived passenger time includes the adaption time (waiting time at the origin station). Adaption time minimization allows us to avoid strict frequency regularity constraints and, at the same time, to ensure regular connections between passengers’ origins and destinations. The combination of adaption time minimization and infrastructure constraints satisfaction makes the problem very challenging.The described periodic timetabling problem can be modelled as an extension of a Periodic Event Scheduling Problem (PESP) formulation, but requires huge computing times if it is directly solved by a general-purpose solver for instances of realistic size. In this paper, we propose a heuristic approach consisting of two phases that are executed iteratively. First, we solve a mixed-integer linear program to determine an ideal timetable that minimizes the total perceived passenger travel time but neglects infrastructure constraints. Then, a Lagrangian-based heuristic makes the timetable feasible with respect to infrastructure constraints by modifying train departure and arrival times as little as possible. The obtained feasible timetable is then evaluated to compute the resulting total perceived passenger travel time, and a feedback is sent to the Lagrangian-based heuristic so as to possibly improve the obtained timetable from the passenger perspective, while still respecting infrastructure constraints. We illustrate the proposed iterative heuristic approach on real-life instances of Netherlands Railways and compare it to a benchmark approach, showing that it finds a feasible timetable very close to the ideal one.

Influence of tomato plants nutritional status on the fitness and damage of Tuta absoluta (Lepidoptera: Gelechiidae)

Abstract1. Fertilization input is required to improve productivity and attend the market demand for tomatoes. However, providing crops with nutrients can affect plant–insect interactions via bottom‐up effects. The South American tomato pinworm, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae), is a main pest of tomato crops worldwide but little is known about the effects of macro‐elements fertilization inputs on its biological traits.2. This study aimed to evaluate the effects of low, high and normal fertilization levels calcium, sulphur, nitrogen and potassium to tomato plants on T. absoluta development, survival and crop damage.3. Larval mortality was lower in tomato plants fertilized with high sulphur fertilization level. The number of mines per leaf was not affected by calcium, sulphur and potassium fertilization, but low nitrogen input resulted in higher crop damage. Overall, our results indicate that nutritionally unbalanced tomato plants improve the biological performance of T. absoluta in comparison with balanced plants.4. The results provide useful information that can be used in fertilization programmes of tomato and planning of strategies and tactics to reduce tomato suitability to T. absoluta.5. In addition, the obtained findings provide an insight into the basic understanding of the interactions between crop fertilization and the performance T. absoluta.

Efficient Management of Aircraft Taxiing Phase by Adjusting Speed Through Conflict-Free Routes

Air traffific congestion is considered to be the main problem in air traffific management. It represents a real handicap in the current rising air traffific flflows without a corresponding enhancement in airport infrastructure. This issue leads to more workloads for air traffific controllers, air stakeholders and other airport operations. The following paper aims to minimize the departure aircraft taxiing time in the movement area. This duration can be affected by several factors such as routing, taxiing speed, holding while taxiing ... etc. In this work, we are going to solve the previous problem by using a tactical planning tool: it consists on assigning effificient and nonstop routes to the scheduled traffific on departure. This tool, using a real-time algorithm, will detect in advance routing conflflicts and solve them before aircraft leave stands and approach the hotspots in taxing network. Furthermore, the proposed method will optimize the use of the available ground network by acting on the taxiing speed in order to reduce departures’ delays, fuel consumption and gas emissions.

Intracranial Iatrogenic Foreign Bodies: Features of Neuroimaging

The timely diagnosis of postoperative consequences through identification of intracranial foreign bodies enables prevention of complications and improvement in quality of life. The paper considers two clinical cases after surgical interventions to remove subdural and intracerebral hematomas of different ages. Computed tomography (CT) was performed on a 64-slice Somatom Perspective apparatus (Siemens, Germany) applying a reformative slice thickness of less than 0.6 mm. Magnetic resonance imaging (MRI) was carried out using a Magnetom Essenza 1.5 T system (Siemens, Germany). When wording the CT and MRT findings, it was suggested that each of the patients had an intracranial foreign body in the presence of postoperative changes. The CT and MRI findings were fully correlated with intraoperative data on the location, number, shape, and size of foreign bodies. The neuroimaging techniques are highly informative in identifying intracranial foreign bodies and are especially important for chronically critically ill patients because of the lack of productive contact with them due to speech problems and cognitive impairment. They assist in making a correct diagnosis and playing a leading role in neurosurgical practice, allowing the detection of an abnormality, the optimal planning of patient management tactics, and the prevention of possible complications.

Time-efficiency factors in road tunnel rescue as perceived by Swedish operative personnel – an interview study

PurposeMajor incidents in road tunnels remain a collaborative challenge for the emergency services (fire and rescue service, police and ambulance), emergency dispatch centres (EDCs) and infrastructure owners. The aim of this paper is to investigate how collaborative partners to the ambulance services perceive the rescue effort and to identify factors that may influence its efficiency.Design/methodology/approachFocus group and individual interviews were conducted with 19 participants who were infrastructure owners or had operational or tactical responsibilities with the emergency services or EDCs in two regions in Sweden with multiple road tunnels. The collected data were analysed using qualitative content analysis.FindingsThree main categories described efficiency factors during and after an incident: (1) coordinating the initial information (using a shared terminology), (2) achieving situational awareness (identifying those persons in need) and (3) lessons (not) learnt (lack of joint tactical plans and exercises). The emerging theme was access, assess and evaluate.Practical implicationsThe findings suggest that establishing national policies and collaborative forums might yield more efficiently managed rescue efforts in road tunnel incidents in Sweden and other countries with similar organisational structures.Originality/valueThis study offers new insights on interoperability during responses to complex underground incidents.

Визначення показників ризику виникнення дифтерії на підставі дослідження антидифтерійного імунітету у населення Дніпропетровщини

Актуальність. Вакцинація є найбільш ефективною ланкою первинної профілактики. Серологічний моніторинг за інфекційними захворюваннями, що охоплюються національними програмами імунізації, дуже важливий, оскільки він надає актуальну інформацію щодо тягаря інфекції та імунологічного статусу населення. Мета дослідження: навести аналіз епідеміологічного моніторингу протидифтерійного захисту населення, показати узагальнюючу епідеміологічну ситуацію щодо дифтерії та визначити показники ризику виникнення дифтерії серед населення Дніпропетровщини. Матеріали та методи. Епідеміологічний аналіз протидифтерійного імунітету (2017–2019 рр.) проводився на підставі результатів імуноферментного аналізу рівнів антитіл IgG проти дифтерійного токсину у 271 мешканця Дніпропетровщини. Результати. Аналіз результатів виявив, що лише 30,6 % (n = 83) населення мають рівні антитоксичних антитіл 1,0 МО/мл і більше, що обумовлює цим особам достатній захист проти дифтерії в найближчі 5–7 років життя. Разом з тим більшість населення (69,4 %) потребує негайної одноразової бустерної вакцинації (n = 134; 49,5 %) або негайної базової вакцинації (n = 54; 19,9 %) внаслідок низьких показників антитоксичних протидифтерійних антитіл. У групі віком 8–15 років 65,9 % (n = 62) потребують негайної базової або бустерної вакцинації, це свідчить про те, що у дітей цього віку не сформований базисний імунологічний захист внаслідок порушень графіку вакцинації або її відсутності. У групі віком 27 років і старше 79,1 % (n = 72) досліджених не мають протективних рівнів антидифтерійних антитіл, що свідчить про відсутність фактичного захисту проти дифтерії. Висновки. Результати роботи свідчать про недостатній популяційний захист населення проти дифтерії. У зв’язку з цим є актуальними питання розробки стратегічних заходів масової імунопрофілактики дифтерії як дітей, так і дорослих. У країні повинні проводитися регулярні епідеміологічні моніторинги, які вивчали б популяційний імунітет проти дифтерії та інших керованих інфекцій і складали перспективний стратегічний і тактичний план з ліквідації недоліків в роботі щодо проведення масової імунопрофілактики населення.

PRINCIPLES AND FEATURES OF FORMING MECHANISMS FOR ECONOMIC DEVELOPMENT MANAGEMENT AT ENTERPRISES

The paper considers the organizational and economic principles and features of the construction of mechanisms for managing the economic development at enterprises. The classification of factors that determine the state of the resource management mechanism at the enterprise is given, which allows identifying the relations within factors by the share of their influence depending on the resource potential of the enterprise. The economic mechanism of resource management rationalization and its resource adapter, which includes tools and methods that interact and allow resources to be redistributed in the interests of implementing tactical plans and achieving strategic guidelines for the development of an agrarian enterprise, are substantiated. It was determined that the key tool of the resource adapter is a methodical approach to comprehensive assessment of the efficiency of resource use at agricultural enterprises. The methodical approach is based on the following principles: the indicators should be interrelated with each other and be related to the specifics of the agricultural industry; they should take into account the variability of individual control subsystems under the influence of certain factors. Indicators related to the agricultural industry that do not affect the level of resource use were identified, which made it possible to propose a new system of indicators after their exclusion that allows a comprehensive assessment of the level of resource use. The decision-making algorithm for the formation of resource management systems at agrarian enterprises has been developed, which includes: selection of significant factors; setting a normalized level for individual indicators; introduction of correction coefficients for the state of resource components; calculation of the integral indicator of the efficiency assessment of using enterprise resources and, on its basis, the selection of decisions on the formation of resource management systems. Keywords: economic development, internal resources, management mechanisms, strategic management.

A robust optimization model for tactical planning of the forest-based biomass supply chain for syngas production

Production of bioenergy and biofuels from forest-based biomass provides an economically and environmentally attractive use of an otherwise wasted material. However, from the collection to conversion, supply chain of forest-based biomass is tainted with many challenges and uncertainties that impact its economic performance. In the literature, most papers focused on the long-term optimization of forest-based biomass gasification supply chains using deterministic models. In this paper, the supply chain of forest-based biomass for syngas production is optimized at the tactical level considering uncertainties. A robust optimization model is developed and applied to the real case of a large Kraft pulp mill in British Columbia, Canada. The total supply chain cost of the case study based on the robust optimization model is 67% higher than that of the deterministic model, however, the robust model provides a single optimal solution that is feasible for all parameter values within their considered uncertainty intervals.

The role of the Internal Audit Charter in Reducing Cases of Financial and Administrative Corruption for Iraqi Economic Units

The phenomenon of corruption is not new, but the volume of corruption that has led many international companies in general and Iraqi economics Units in particular, to the abyss must be taken into account to reduce it. Many international organizations have addressed this phenomenon for instance; (Gray) has defined corruption in general as the abuse of power available to achieve personal returns and profits or to a group of people, who are among them. many Iraqi economics units Suffer from much managerial and financial corruption, because of the weak internal auditing and the weak role of monitoring and control units for the administration's functions. The study offers a proposed model to implement the strategy of description functions. The internal audit charter provides a legal support for the department's work through identifying the objectives of the internal audit function, independence, granted authority and the responsibilities assigned it by determining the scope of work, as well as determining the professional standards followed and types of reports issued by them.In order to impede the fraud and corruption, the study recommends using this charter in order to draw up of strategic and tactical plans to acquire and provide infrastructure, as well as the preparation and evaluation of skills of auditors that help to create an ideal environment which contributes to ending of corruption cases.

Partner with a Third-Party Delivery Service or Not? A Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic

Amidst the COVID-19 pandemic, restaurants become more reliant on no-contact pick-up or delivery ways for serving customers. As a result, they need to make tactical planning decisions such as whether to partner with online platforms, to form their own delivery team, or both. In this paper, we develop an integrated prediction-decision model to analyze the profit of combining the two approaches and to decide the needed number of drivers under stochastic demand. We first use the susceptible-infected-recovered (SIR) model to forecast future infected cases in a given region and then construct an autoregressive-moving-average (ARMA) regression model to predict food-ordering demand. Using predicted demand samples, we formulate a stochastic integer program to optimize food delivery plans. We conduct numerical studies using COVID-19 data and food-ordering demand data collected from local restaurants in Nuevo Leon, Mexico, from April to October 2020, to show results for helping restaurants build contingency plans under rapid market changes. Our method can be used under unexpected demand surges, various infection/vaccination status, and demand patterns. Our results show that a restaurant can benefit from partnering with third-party delivery platforms when (i) the subscription fee is low, (ii) customers can flexibly decide whether to order from platforms or from restaurants directly, (iii) customers require more efficient delivery, (iv) average delivery distance is long, or (v) demand variance is high.