scholarly journals Data Mining and Statistical Analysis for Available Budget Allocation Pre-procurement of Manufacturing Equipment

2019 ◽  
pp. 1-13
Author(s):  
O. O. Ojo ◽  
B. O. Akinnuli ◽  
P. K. Farayibi
Keyword(s):  
Statistical Analysis ◽  
Decision Maker ◽  
Manufacturing Industry ◽  
Spare Part ◽  
Spare Parts ◽  
Strategic Decision ◽  
High Rate ◽  
Strategic Decisions ◽  
Hidden Data ◽  
The Cost

In a situation where a decision maker faces problems of allotting the available budget on the strategic decisions in a manufacturing industry, data information plays an important role to maintain long run profit in the industry. Statistical analysis was incorporated to determine the correlational strength between the number of years and each of the strategic decisions, their confidence level, and the predicted values. This study identified the strategic areas of addressing the issues which are machine (), accessory (), spare part () and miscellaneous (), exploring the hidden data of the selected strategic decisions from International Brewery Plc, Ilesha and statistical analysis between the number of years and each of the selected strategic decisions. The model used in this work is simple linear regression while Statistical Analysis Software “SAS” was used for its applications. After exploring the hidden data from a case study, the suggested cost of procurement for machines, accessories, spare-parts and miscellaneous are: ₦119,975,000.00; ₦127,968,000.00; ₦134,965,000.00 and ₦33,491,500.00 respectively. From appendix, the probability of each of the strategic decision is less than 0.05 which implies that the Null-Hypothesis is rejected. The number of years has significant effect on Machines, Accessories, Spare-parts and Miscellaneous. As the number of years increases, the cost of procurement of the strategic decisions increases due to high rate of demand and consumption of their products. However, the cost of procurement may fall depending on the level of demand and maintenance culture. Besides, management of the company may ask decision maker to maintain the cost before procurement. This result may be used for further research on optimization of the available budget for equipment procurement.

scholarly journals Evaluating the Readiness Level of Additively Manufactured Digital Spare Parts: An Industrial Perspective

2018 ◽  
Vol 8 (10) ◽  
pp. 1837 ◽  
Author(s):  
Niklas Kretzschmar ◽  
Sergei Chekurov ◽  
Mika Salmi ◽  
Jukka Tuomi
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Industry ◽  
Spare Part ◽  
Spare Parts ◽  
Survey Study ◽  
Lead Times ◽  
Supply Networks ◽  
Readiness Level ◽  
End Use ◽  
Technological Limitations

Additive manufacturing of digital spare parts offers promising new possibilities for companies to drastically shorten lead times and to omit storage costs. However, the concept of digital spare parts has not yet gained much footing in the manufacturing industry. This study aims to identify grounds for its selective rejection. Conducted from a corporate perspective, outlining a holistic supply chain network structure to visualize different digital spare part distribution scenarios, this survey study evaluates technical and economic additive manufacturing capabilities. Results are analyzed and discussed further by applying the Mann-Whitney test to examine the influence of the company size and the presence of 3D-printed end-use components within supply networks on gathered data. Machines’ limited build chamber volumes and the necessity of post-processing are considered as the main technical challenges of current additive manufacturing processes. Furthermore, it can be concluded that company sizes have a significant effect on perceived technological limitations. Overall, the results lead to the conclusion that the readiness level of the digital spare parts concept demands for further development.

Implementation of Time-Driven Activity-Based Costing System in the Manufacturing Industry

2020 ◽  
pp. 272-283 ◽  
Author(s):  
Ahmet Özcan
Keyword(s):  
Manufacturing Industry ◽  
Business Environment ◽  
Activity Based Costing ◽  
Strategic Decisions ◽  
Quality Cost ◽  
Goods And Services ◽  
Costing System ◽  
The Cost ◽  
Capacity Cost

In the current business environment, the costing system used within the firms has prominent impact on strategic decisions. High-quality cost data significantly increases the quality of firms' strategic decisions. The activity-based costing system has failed to satisfy the needs of firms operating in the competitive economic environment. The time-driven activity-based costing system is the developed version of activity-based costing system. Time-driven activity-based costing system is one of the most sophisticated costing systems that enable firms to accurately calculate the cost of goods and services. Time-equations are used in time-driven activity-based costing system to estimate the time consumed by each activity. This chapter aims to discuss main dynamics of time-driven activity-based costing system and provides an illustration of this costing system in the manufacturing industry. The case study demonstrates that time-driven activity-based costing system is useful in calculating idle capacity cost.

scholarly journals Modeling Equipment Procurement Strategic Decisions Competing for Limited Available Budget under Redundant Accessory Cost

2015 ◽  
Vol 4 (2) ◽  
pp. 80
Author(s):  
C. O. Osueke ◽  
B. O. Akinnuli ◽  
O. O. Ojo
Keyword(s):  
Large Scale ◽  
Critical Factor ◽  
Spare Part ◽  
Spare Parts ◽  
Strategic Decisions ◽  
Manufacturing Company ◽  
To Come ◽  
Optimum Model ◽  
Procurement Strategies ◽  
Present Event

<p>The challenges that used to come up as a result of project failure have to do with improper planning. This is looking into future what can occur based on present event. In financing equipment or machinery, the capital in hand is a critical factor that determines equipment procurement strategies. There is need for an optimum model to control the available budget to be put in place in order to optimally allot the available budget to the machines, spare parts and miscellaneous costs under the redundant of accessory cost. This study identified the financial strategic decisions for machines, spare parts and miscellaneous costs, developed mathematical models for the identified strategic decisions, test and evaluate the performance of the developed models. In this study, three strategic decisions were considered (i.e., machines, spare parts and miscellaneous costs) and the optimum model to control the budget for machines, spare parts and miscellaneous costs are dealt with under the redundant accessory cost. This is because an existing manufacturing company or industry has high inventory of accessories which always aid the performance of machine in the industry. Therefore, it is necessary to optimally allot the available budget on the machine(s) to be procured, spare part to be stocked and miscellaneous cost. The amount allotted to machines, spare parts and miscellaneous while budgeting for year 2015 are in this ratio: Machines, ($5,263.83); Spare parts, ($27,723.09); Miscellaneous, ($4,366.03), this based on available small budget of N 6,350.000 of dollar value of US$1,079,500.00. This model is a strong decision tool for allocating available budget in the period of financial scarcity where equipment procurement for production needs must be carried out. This model is highly recommended to any manufacturing company, small, medium and large scale that equipment procurement affects their production in developed and developing countries.</p>

The necessity of conducting repairs, or the Economic paradox

2021 ◽  
pp. 12-22
Author(s):  
V. A. Sidorov ◽  
A. V. Sidorov ◽  
N. V. Gichun
Keyword(s):  
Working Condition ◽  
Probabilistic Approach ◽  
Spare Parts ◽  
The Other ◽  
High Rate ◽  
Technical Diagnostics ◽  
Mechanical Equipment ◽  
Maintenance And Repair ◽  
The Cost

The increase in the total number of machines in the middle of the 20th century led to a rise in the number of repair services and served as an impetus for the start of work to improve the reliability of mechanical equipment based on the statistical probabilistic approach, the provisions of terotechnology and methods of technical diagnostics. Maintaining machines and mechanisms in working condition has become quite expensive. On the other hand, reducing the cost of maintenance and repairs leads to a violation of the continuity of the technological cycle. Existing trends in mechanical engineering and in the general paradigm of the development of civilization indicate a tendency to reduce the durability of parts and units. The manufacture of products with a long service life becomes economically unviable, which is the essence of the paradox. The article considers the examples of implementation of various approaches to the operation of equipment during maintenance and repair. The prerequisites for the necessity of conducting repairs are analyzed. It is recommended to try to reach a compromise between the manufacturer and the consumer on the basis of long-term contracts for the supply of spare parts or the provision of equipment maintenance services. The urgency of the problem is further justified by the high rate of robotization, since robots also need to be repaired. In this regard, the authors express the hope that this article will be useful in solving the problem of the repair.

scholarly journals RESTORATION OF MACHINE PARTS: CHOICE OF THE METHOD

2020 ◽  
Vol 17 (1) ◽  
pp. 84-97
Author(s):  
A. N. Kotomchin ◽  
A. F. Sinelnikov ◽  
N. I. Korneychuk
Keyword(s):  
High Performance ◽  
Spare Part ◽  
Spare Parts ◽  
Chrome Plating ◽  
Wear Resistant Coatings ◽  
Technical Requirements ◽  
Machine Parts ◽  
The Cost ◽  
Selection Of ◽  
Operating Temperature Range

Introduction. In the process of operation of cars there is a need for quality repairs with minimal time and resources. There is a constant search for ways to reduce the cost of operating cars by reducing the cost of buying original spare parts. One way to reduce the cost of spare parts is the restoration of resource-defining expensive car parts. In this regard, there is a search for the selection of optimal ways to restore machine parts that meet the economic and technical requirements and which have a resource of a new spare part. The purpose of the research is to substantiate the feasibility of using galvanic coatings in particular chrome plating in the restoration of machine parts.Materials and methods. The authors proved a rationale recovery of parts of machines galvanized coating and the method of choice of the rational restoration of car details. Moreover, the authors established that a large number of parts are in the range of 0.1...0.5 mm, as a result, the authors used wear-resistant coatings of electrolytic chrome plating.Results. As a result of optimizing the composition of the existing cold self-regulating electrolyte, the authors expanded the operating temperature range (up to 35 o C), at which it was possible to obtain high-quality coatings with high performance.Discussion and conclusions. The authors conclude that in modern conditions of the car production and repair and for certain nomenclature of resource-defining details, it is possible to use one of the restoration ways, namely, chrome plating. In order to reduce costs and increase the performance of chrome plating, it is necessary to improve it by optimizing the electrolyte composition and electrolysis modes.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.

scholarly journals Assessment of the Potential Economic Impact of the Use of AM Technologies in the Cost Levels of Manufacturing and Stocking of Spare Part Products

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1429 ◽  
Author(s):  
Joaquim Minguella-Canela ◽  
Sergio Morales Planas ◽  
Joan Gomà Ayats ◽  
M. de los Santos López
Keyword(s):  
Additive Manufacturing ◽  
Economic Impact ◽  
General Equation ◽  
Spare Part ◽  
Spare Parts ◽  
Added Value ◽  
Topological Optimization ◽  
Manufacturing Technologies ◽  
The Cost

Additive manufacturing (AM) technologies are appropriate manufacturing technologies to produce low rotation products of high added value. Products in the spare parts business usually have discontinuous demand levels of reduced numbers of parts. Indeed, spare parts inventories handle myriad of products that require big immobilized investments while having an intrinsic risk of no-use (for example due to obsolescence or spoilage). Based on these issues, the present work analyses the fundamental cost factors in a real case study of a company dedicated to the supply of spare parts for fluid conduction systems. Real inventory data is assessed to determine the product taxonomy and its associated costs. A representative product of the stock is analyzed in detail on original manufacturing costs, in AM costs and then redesigned with topological optimization to reduce the AM cost levels (via design for additive manufacturing). A general equation for cost assessment is formulated. Given the specific data collected from the company, the parameters in this general equation are calculated. Finally, the general equation and the product cost reduction achieved are used to explore the potential economic impact of the use of AM technologies in the cost levels of manufacturing and stocking of spare part products.

On strategy for the development of multifunctional social infrastructure complexes in the ‘Smart City’ paradigm

2020 ◽  
Vol 26 (7) ◽  
pp. 1469-1495
Author(s):  
A.L. Sabinina ◽  
V.V. Sokolovskii ◽  
N.A. Shul'zhenko ◽  
N.A. Sychova
Keyword(s):  
Smart City ◽  
Housing Demand ◽  
Infrastructure Development ◽  
Social Infrastructure ◽  
Strategic Decisions ◽  
Demand And Supply ◽  
Living Space ◽  
Two Stages ◽  
The Cost ◽  
Comprehensive Study

Subject. The article describes the findings of the authors of fundamental strategic decisions on the formation of multifunctional urban complexes, using the housing demand and supply criterion. Objectives. We undertake a comprehensive study aimed at perfecting the methodology for evaluating the options for city infrastructure development at two stages, i.e. strategic, when general targets of feasible commissioning are determined, and current, when parameters of demand for facilities are taken into account. Methods. The study employs methods of expert survey, statistical data processing, predictive and investigative analysis. Results. We explored factors of creating amenities and comfort in residential construction areas, developed an algorithm to calculate the volume of new living space commissioning on the basis of evaluating demands in the Smart City paradigm. Conclusions. The study shows the cost increase depending on the built-up area, number of floors, and the balance between the type of capacity and the number of residents in the quarter (linear relationship).

ANALISIS PERHITUNGAN HARGA POKOK PRODUKSI DAN PENENTUAN HARGA JUAL ATAS PRODUK (Studi Kasus Pada PT Dasa Windu Agung)

2016 ◽  
Vol 1 (2) ◽  
pp. 183-190
Author(s):  
Dwi Urip Wardoyo
Keyword(s):  
Manufacturing Industry ◽  
Sampling Method ◽  
Manufacturing Companies ◽  
Test Analysis ◽  
Automotive Components ◽  
Convenience Sampling ◽  
Cost Of Production ◽  
The Cost ◽  
Keywords Cost

This study aims to determine the determination of the cost of production for products produced by PT. DWA. The Company is engaged in the manufacturing industry specialized in automotive components. Its activity is carried out through a series of production processes, so that expenses spent in the production will be calculated into the cost of the production sold. The population in this study were all manufacturing companies in Jakarta. Convenience sampling method selected one of the companies that get the confidence to assemble three national car project in Indonesia, namely Timor, Bakrie and Maleo. Test analysis used in this study is to test the calculation of full costing with job order costing. This study shows that (a) determination of the cost elements associated with the cost of production and (b) determining the cost of production on a product-based job costing with full costing approach. Keywords: cost of production, full costing

scholarly journals Game-Theoretic Decision Support for Cyber Forensic Investigations

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5300
Author(s):  
Antonia Nisioti ◽  
George Loukas ◽  
Stefan Rass ◽  
Emmanouil Panaousis
Keyword(s):  
Cyber Security ◽  
Strategic Decisions ◽  
Bayesian Games ◽  
Bayesian Game ◽  
Cyber Forensics ◽  
Detection And Attribution ◽  
Different Types ◽  
Game Theoretic ◽  
The Cost

The use of anti-forensic techniques is a very common practice that stealthy adversaries may deploy to minimise their traces and make the investigation of an incident harder by evading detection and attribution. In this paper, we study the interaction between a cyber forensic Investigator and a strategic Attacker using a game-theoretic framework. This is based on a Bayesian game of incomplete information played on a multi-host cyber forensics investigation graph of actions traversed by both players. The edges of the graph represent players’ actions across different hosts in a network. In alignment with the concept of Bayesian games, we define two Attacker types to represent their ability of deploying anti-forensic techniques to conceal their activities. In this way, our model allows the Investigator to identify the optimal investigating policy taking into consideration the cost and impact of the available actions, while coping with the uncertainty of the Attacker’s type and strategic decisions. To evaluate our model, we construct a realistic case study based on threat reports and data extracted from the MITRE ATT&CK STIX repository, Common Vulnerability Scoring System (CVSS), and interviews with cyber-security practitioners. We use the case study to compare the performance of the proposed method against two other investigative methods and three different types of Attackers.

scholarly journals STeroids Against Radiculopathy (STAR) trial: a statistical analysis plan

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Bastiaan C. ter Meulen ◽  
Johanna M. van Dongen ◽  
Marinus van der Vegt ◽  
Henry C. Weinstein ◽  
Raymond W. J. G. Ostelo
Keyword(s):  
Statistical Analysis ◽  
Cost Effectiveness ◽  
Intervention Group ◽  
Statistical Analysis Plan ◽  
Pain Medication ◽  
Oral Pain ◽  
Oral Pain Medication ◽  
Group 2 ◽  
The Cost ◽  
Star Trial

Abstract Background Transforaminal epidural injections with steroids (TESI) are used increasingly for patients with sciatica. However, their safety, effectiveness, and cost-effectiveness are still a matter of debate. This a priori statistical analysis plan describes the methodology of the analysis for the STAR trial that assesses the (cost-)effectiveness of TESI during the acute stage of sciatica (< 8 weeks). Methods The STAR trial is a multicentre, randomized controlled, prospective trial (RCT) investigating the (cost-)effectiveness of TESI by making a three-group comparison among patients with acute sciatica due to a herniated lumbar disc (< 8 weeks): (1) TESI combined with levobupivacaine added to oral pain medication (intervention group 1) versus oral pain medication alone (control group), (2) intervention group 1 versus transforaminal epidural injection with levobupivacaine and saline solution added to oral pain medication (intervention group 2), and (3) intervention group 2 versus control group. Co-primary outcomes were physical functioning (Roland Morris Disability Questionnaire), pain intensity (10-point numerical rating scale), and global perceived recovery (7-point Likert scale, dichotomized into ‘recovered’ and ‘not recovered’). For all three comparisons, we defined the following minimal clinically relevant between-group differences: two points for pain intensity (range 0–10), four points for physical functioning (range 0–24) and a 20% difference in recovery rate. Secondary outcomes are health-related quality of life (EQ-5D-5L) and patient satisfaction (7-point Likert scale) and surgery rate. We also collected resource use data to perform an economic evaluation. Analyses will be conducted by intention-to-treat with p < 0.05 (two-tailed) for all three comparisons. Effects will be estimated using mixed models by maximum likelihood. For each comparison, mean differences, or difference in proportions, between groups will be tested per time point and an overall mean difference, or difference in proportions, between groups during the complete duration of follow-up (6 months) will be estimated. In the economic evaluation, Multivariate Imputation by Chained Equations will be used to handle missing data. Cost and effect differences will be estimated using seemingly unrelated regression, and uncertainty will be estimated using bootstrapping techniques. Discussion This statistical analysis plan provides detailed information on the intended analysis of the STAR trial, which aims to deliver evidence about the (cost-)effectiveness of TESI during the acute phase of sciatica (< 8 weeks). Trial registration Dutch National trial register NTR4457 (6 March 2014)

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