Abstract
The purpose of this paper is to present the results of a research into the customer preferences of potential buyers of simple wood-based house for the purpose of using the Target Costing methodology. Respondents’ opinions of 280 customers were obtained through direct interviews taking place at a specialized exhibition of furniture and timber constructions in Slovakia. The object of the research was a simple wood-based house, namely a weekend garden cottage, made of northern spruce at the level of target price 9,320 €. The paper contribution is represented by the use of the Target Costing methodology in the conditions of wood-processing industry while defining the customer preference for a specific product with the subsequent use for a functional cost analysis and determining the target cost index of the evaluated components. Presented results can be used as information database for decision making in the field of make or buy decisions at the level of fixed purchase prices of individual components or as the upper price limit for producing the components by the business itself.
1 Introduction
The current business environment is characterized by high competitiveness. In order to be successful, companies have to adapt quickly and flexibly to the given conditions, especially to the needs of customers. Gradually, costs begin to be seen from a strategic perspective and planning is undertaken in the preproduction phase, as a consequence of this stage creating the greatest impact on any future success of a product. Varying perceptions of costs and the behaviour pertaining to them also necessitates that adequate tools are developed for their strategic management, e.g. Target Costing (TC). Vedder [1] states that the origin of such a calculation technique dates back to the 1970s, when the income of the private sector in Japan experienced a rapid rise and people started to explore greater diversity in their needs.
Many research studies have for several years been connected with target costing issues. Sakurai [2] in his study writes that TC can be defined as a cost management tool for reducing the overall cost of a product over its entire life cycle with the help of production, engineering, R&D, marketing and accounting departments. Monden and Lee [3] state that TC is defined as a companywide profit management activity during the new product development stage that includes: (1) planning products that have customer-pleasing quality, (2) determining target costs (including target investment costs) for the new product to yield the target profit required over the medium to long term given the current market conditions, and (3) devising ways to make the product design achieve target costs while also satisfying customer needs for quality and prompt delivery. Petřík [4] concludes that the three main strategies for gaining a competitive edge comprise the following: cost leadership, discovering new market opportunities and differentiating the products and services. The latter of these permits the possibility of utilizing TC. This represents a special management approach with the aim of integrating the cost management oriented towards the marketplace and clients. These conclusions on the greater significance of cost management, cost behaviour analyses, and appropriate cost projection to adequate cost systems have also been backed up by authors such as Novák and Popesko [5], Potkány et al. [6] and Dejnega [7]. Krstevski and Mancheski [8] state that common to most definitions of TC is a process founded on a competitive market environment, market prices driving cost (and investment) decisions, cost planning, management and cross-functional team involvement, including the managerial accounting. Ahn et al. [9] determine nine distinct research streams that encompass further developments of the traditional TC methodology. Kocakülâh and Austill [10] in their study state that the TC concept grew out of a need for manufacturers to improve product cost management and product development. The traditional cost management, cost accumulation and allocation methods used for decades and still predominant in the manufacturing and services sectors have failed as tools for product development, planning, and cost management. This is because they focus on the product cost rather than on the expectations of customers and the product design itself. It is this field where the major potential of using the TC methodology is seen. Therefore, interesting is the fact that we have not found the issue of TC in the wood-processing industry sector in available studies.
Therefore, the aim of the paper is to present the results of research into customer preferences of potential buyers of simple wood-based house for the use of target costing method in the conditions of the wood-processing industry (WPI). The contribution of the study is the use of TC methodology for specifying the customer preferences and data for deciding about the component prices or for making the make or buy decisions.
2 Methodology
Research methodology consists of two independent phases. The first phase covered a survey summarizing the customer preferences and specifying the object of the research - simple wood-based house (garden cottage). Data collection via a questionnaire was carried out in April – May 2018 at specialised exhibitions presenting the producers of wood-based houses in Slovakia. In total, 280 respondents – potential customers interested in buying the specific product were addressed directly. The second phase included application of the TC methodology using the principles of value analysis. The entire process for applying the TC methodology can be generalized, hence the description given in the following diagram. The Figure 1, according to Hematfar et al. [11], visualizes the standard utilization procedures of TC. It also represents the graphical simulation of the procedure followed in our study. The new product was the object of our research. The object of the research was the weekend garden cottage, made from northern spruce (Figure 2).
![Figure 1 Process diagram of methodology for Target Costing [11].](/document/doi/10.1515/eng-2019-0048/asset/graphic/j_eng-2019-0048_fig_001.jpg)
Process diagram of methodology for Target Costing [11].
![Figure 2 Specific characteristics of selected product [6].](/document/doi/10.1515/eng-2019-0048/asset/graphic/j_eng-2019-0048_fig_002.jpg)
Specific characteristics of selected product [6].
We also carried out a research focused on the price level accepted by the consumer. This research has shown that the ideal target price is 9,320 €. Within the chosen methodology, some scientific methods like demands, the statistical analysis of one-dimensional data and deduction were used. Subsequently, TC methodology was applied with the use of value analysis principles. If we want to apply the calculation principles to the TC and value analysis in selected entries, it is necessary to proceed in the following steps:
Koperta dowodu osobistego - Łach Stanisław s. Andrzeja– the calculation of the estimated income and the required profit based on comparing ROS parameters from the previous periods;
– the assessment of the total cost and the cost of the individual components of the cost analysis and the analysis of the functional costs; also the discrepancy between preferences and actual costs; in this step the methodology of analysis and synthesis was used.
The main idea of target cost calculation is the determination of the maximum limit of allowable cost, which should not be exceeded while running the production by any corporation. This limit is not determined according to the basic technical and economic standards of consumption in place, but on the contrary, it is determined as the surplus of target price after we deduct the target profit. This relationship is defined by Foltínová et al. [12].
The target profit is the important element of final price. The amount of profit depends on financial goals of each corporation. Generally, it is not determined in absolute amount, but rather in percentage amount, usually with the use of return on sales value (ROS). Because of the meaning of this calculation for future decision making, we determine the target on return on sales as the arithmetic mean of historical return on sales for several periods. The older the period, the lesser the importance gravity. The return on sales in x-period (ROSx) is determined as the multiple of several returns from fore going periods (ROSn−0,1,2,...n) and the gravity of importance (wn−0,1,2,..n) in the n– number of periods, as shown in formula 2. This relationship is defined by Tumpach [13].
For the target profit determination with the use of ROS, it is possible to use the following formula 3:
Using the TC methodology can be determined by Target Cost Index (TCI). TCI determines the weight of the allowable costs from methodology and the weight of the component from preliminary calculation (Formula 4). This relationship is defined in the study by Horváth [14].
TCI can show three levels. When TCI is greater than 1, it is assumed that it is an inexpensive component where it is necessary to consider its quality. When TCI is less than 1, it is assumed that the component is too expensive due to its importance in ensuring customer preferences. The ideal condition is when TCI = 1. The planned level of costs incurred for the components is the same as the value at which this component contributes to the fulfilment of customer preferences. However, this situation is hardly achievable. Therefore, in this context, according to Coenenberg [15], the tolerance cost zone can also be defined. This is a kind of maneuvering space called the Target Cost Zone. For the determination of tolerance zones, according to Ehrlenspiel et al. [16], the tolerance limits can be (upper f1, lower f2) determined according to formula 5 and 6. The q value represents the tolerance level, in our case determined at 10%, and the value x represents the relative importance of the component from TC methodology.
3 Results and discussion
Many businesses are trying to keep their market position in a competitive environment. Consequently, planning and cost optimization are becoming more important every year and must be adjusted to align with profitability expectations. That is why managers are looking for active approaches to product pricing and planning. Such an approach offers the potential of using the Target Costing. The object of the research was a simple wood-based house, namely the weekend garden cottage, made from northern spruce. Its main characteristic is a diversified structure where wood knots do not fall out. The wall profile is 50 mm wide, while the construction is secured with a double tongue and groove joint. Object area is 31.7 m2 with saddle roof with specific window, door, floor and roof components, which are presented in the following Figure 2.
Figure 3 presents the five basic customer product preferences being the results of direct interviews with potential customers. Respondent views were obtained through direct interviews at a specialized exhibition of furniture and timber constructions. During this event 280 questionnaires were collected. The random selection of the sample is sufficient and representative in terms of the number of respondents regarding the planned number of sold products. As shown in Figure 3, the preference order from the respondent point of view is as follows: the functional use of cottage (P1), the possibility to using the cottage outside the season (P2), the way securing the area at the time of absence (security against robbery) (P3), design and colour (P4), the possibility of cottage disassembling and moving to different place (P5). Through the recommended relationship (2) the ROS indicator was set to 2.85%. For calculating the target profit, formula 3 was used, and it comes from estimated return on sales. Target profit = 9,320 € x (2.85/100) = 265.6 €.

Customer product preferences.
Consequently, it is possible to determine the allowable cost value according to formula 1. The total allowable cost of garden cottage has the value of 9,054.4 €.
The key factor of the target cost methodology is the accurate determination of the customer preferences. By means of the customer preferences and by the assessment of the relationship between customer requirements on product functions and its specific parameters, it is possible to assemble the quality-function deployment by highly qualified employee (Table 1). Important step of the TC methodology is the application of the functional cost analysis and thereafter suggesting some alternatives that will help us identify improvements that will lower the costs and will not constrain the product capacity. The functional cost analysis with the determination of relative weight of the components is presented in Table 2. Table 3 presents the basic structure of costs for specific components of the selected product. These costs were determined at the level of total costs, reached through the estimated preliminary calculation of the company.
Quality-function deployment of the selected product.
The customer preferences | The basic components of garden cottage | |||||||
---|---|---|---|---|---|---|---|---|
Interior walls | Floor | Mansard | Roof | Doors/ windows | Another parts | Instal. package | Total | |
Preference P1 (25.6%) | 20% | 14% | 14% | 14% | 20% | 6% | 12% | 100% |
Preference P2 (24.9%) | - | 10% | - | 40% | 10% | 40% | - | 100% |
Preference P3 (22.6%) | - | - | - | - | 90% | - | 10% | 100% |
Preference P4 (16.5%) | 60% | - | - | 20% | 20% | - | - | 100% |
Preference P5 (10.5%) | 40% | 5% | 15% | 20% | 15% | - | 5% | 100% |
Source own processing
Functional cost analysis of the selected product.
The customer preferences | The basic components of garden cottage | |||||||
---|---|---|---|---|---|---|---|---|
Interior walls | Floor | Mansard | Roof | Doors/ windows | Another parts | Instal. package | Total | |
Preference P1 (25.6%) | 5.12% | 3.58% | 3.58% | 3.58% | 5.12% | 1.54% | 3.07% | 25.6% |
Preference P2 (24.9%) | - | 2.49% | - | 9.96% | 2.49% | 9.96% | - | 24.9% |
Preference P3 (22.6%) | - | - | - | - | 20.34% | - | 2.26% | 22.6% |
Preference P4 (16.5%) | 9.90% | - | - | 3.30% | 3.30% | - | - | 16.5% |
Preference P5 (10.5%) | 4.20% | 0.53% | 1.58% | 2.10% | 1.58% | - | 0.53% | 10.5% |
Total | 19.22% | 6.60% | 5.16% | 18.94% | 32.83% | 11.50% | 5.86% | 100% |
Source own processing
Preliminary calculation of the selected product components.
Components | Direct cost | Overhead cost | Cost of the components | Relative Cost |
---|---|---|---|---|
Circuit interior walls | 1,128.09 € | 1,342.99 € | 2,471.08 € | 27.29 % |
Floor | 230.01€ | 273.83 € | 503.84 € | 5.56 % |
Mansard | 61.64 € | 73.38 € | 135.02 € | 1.49 % |
Roof | 1,069.24 € | 1,272.93 € | 2,342.17 € | 25.87 % |
Doors and windows | 395.43 € | 470.76 € | 866.19 € | 9.57 % |
Another parts | 1,188.61 € | 1,415.04 € | 2,603.65 € | 28.76 % |
Installation package | 60.20 € | 71.67 € | 131.87 € | 1.46 % |
Total | 4,133.22 € | 4,920.60 € | 9,053.82 € | 100.00 % |
Source own processing
Subsequently, it is possible to set a TCI for individual components.
Interior walls: TCI = (19.22 / 27.29) = 0.70 < 1, roof: TCI = (18.94 / 25.87) = 0.73 < 1 and other parts (insulating material, ladder, door frame): TCI = (11.50 / 28.76) = 0.40 < 1. These components are expensive due to their importance in providing customer preferences.
Floor: TCI = (6.60 / 5.56) = 1.18 > 1, Mansard: TCI = (5.16 / 1.49) = 3.46 > 1. Installation package: TCI = (5.86 / 1.46) = 4.01 > 1. These components are still within the manoeuvring space despite the TCI above the level 1. The level of costs incurred for the components is within the tolerance zone in terms of fulfilling customer preferences.
Doors/ windows: TCI = (32.83 / 9.57) = 3.43 > 1. These components are inexpensive in terms of the planned costs of their production, and their qualitative characteristics should be considered given its importance in terms of customer preference.
Target cost control diagram with the level of tolerance zones is presented in Figure 4.

Target cost control diagram.
Based on our results, it can be stated that windows and doors are components that may cause problems. These components of the final product are inexpensive in terms of the preliminary calculation. It is necessary to consider to a certain extent the quality of production and the choice of input materials. Therefore, it is advisable to look for cost savings for particular components, such as interior walls, roof construction and other parts (insulating material, ladder, door frame). One of the ways to reduce costs is to reconsider the appropriate supplier that provides the input material – we can search for cheaper suppliers while ensuring the quality level of the material. When buying the components, also the limit price level was determined. For the roof construction it was 1,715 € (0.1894 x 9,054.4 €), for other parts the limit price level was 1,041 € (0.115*9,054.4 €). While accepting these conditions, it is possible to launch a product with a target price of 9,320 € that would meet the customer requirements as well as contribute to creating the target profit.
Aladwan et al. [17] have been trying to apply a TC methodology in the field of hotel management, Lima et al. [18] in the agriculture sector and Macuda and Orlinski [19] in the field of healthcare facilities. Many results can also be found in other industries [20, 21]. TC could also be used by service companies, although those companies still tend to be cost-plus oriented. The construction industry has not accepted this new approach either. Its pricing nature is usually driven by costs or top-down estimating based on rates for building elements, such as price per square foot. This issue has been addressed for analysis of two case studies of construction firms in Great Britain, in the studies of Nicolini et al. [22] and also Perry et al. [23]. A similar result was presented in the study of Pennanen et al. [24]. Alwisi et al.[25] suggest a systematic framework called target cost modelling for the application of target costing in the construction industry. They expected to improve project performance efficiently and enhance the design process while meeting the desired overall costs. Following the analysis of available literature sources it can be concluded that that the use of TC methodology is absent in the wood-processing industry (WPI). This is one of the reasons for considering the present application innovative. Target Costing is a tool that can discover potential reserves of the company and can also provide solutions for the functional differentiation of the product. The final cost calculation as a modern method of calculation uses the principles of value analysis, while through the tools of functional cost analysis and the tools of quantity-function deployment it can create suitable conditions for the functional differentiation of the product. This approach can expose defects in the initial phase of the research and the development of the product, while 85 to 90% of capacity costs is a result of decision-making in the phase of preparation. The risk of this approach lies in the accurate market research and in determining the relative cost for specific components. Krstevski and Mancheski [8] state that TC itself is no revolution in the planning process – a focus on the customer’s willingness to pay is revolutionary and in combination with demand-based charging the revolution begins reality.
4 Conclusion
The wood-processing industry in Slovakia is relatively independent from import with active balance of foreign trade built on a domestic resource base of sustainable character.The problem is that this industry does not have the priority position in the hierarchy and support when compared to other industries. The entire industry solves issues associated with financing as well as the potential of product development and cost management. The aim of this paper was to present the application of TC methodology in the conditions of the wood-processing industry of the Slovak business environment. From our point of view, there is a potential for using the TC methodology in the sector of WPI mainly at the level of utilization of information from functional cost analysis. The main contributions of the present study are:
The application of TC methodology in the conditions of WPI with defined customer preferences for a specific product, with their subsequent use for functional cost analysis and determining the target cost index of the evaluated components;
Presented results can be used as information database for decision making in the field of make or buy decisions at the level of set purchase prices of individual components (doors, windows, roof construction etc.) or as the level of upper price limit for producing the components by the business itself. The target costing method focuses on market oriented management, aiming to attract and satisfy the customer on one hand and provide more efficient planning process on the other hand. In the case of such applied approach, we can talk about target cost oriented management.
Acknowledgments
The research was financed jointly by APVV-16-0297 Updating of anthropometric database of Slovak population; VEGA No. 1/0320/17 Economic and Social Context of European 20/20/20 Targets from the Viewpoint of Economy Low-energy Houses.
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© 2019 Marek Potkány and Monika Škultétyová, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Dynamic safety system for collaboration of operators and industrial robots
- Assessment of Decentralized Electricity Production from Hybrid Renewable Energy Sources for Sustainable Energy Development in Nigeria
- Seasonal evaluation of surface water quality at the Tamanduá stream watershed (Aparecida de Goiânia, Goiás, Brazil) using the Water Quality Index
- EFQM model implementation in a Portuguese Higher Education Institution
- Assessment of direct and indirect effects of building developments on the environment
- Accelerated Aging of WPCs Based on Polypropylene and Plywood Production Residues
- Analysis of the Cost of a Building’s Life Cycle in a Probabilistic Approach
- Implementation of Web Services for Data Integration to Improve Performance in The Processing Loan Approval
- Rehabilitation of buildings as an alternative to sustainability in Brazilian constructions
- Synthesis Conditions for LPV Controller with Input Covariance Constraints
- Procurement management in construction: study of Czech municipalities
- Contractor’s bid pricing strategy: a model with correlation among competitors’ prices
- Control of construction projects using the Earned Value Method - case study
- Model supporting decisions on renovation and modernization of public utility buildings
- Cements with calcareous fly ash as component of low clinker eco-self compacting concrete
- Failure Analysis of Super Hard End Mill HSS-Co
- Simulation model for resource-constrained construction project
- Getting efficient choices in buildings by using Genetic Algorithms: Assessment & validation
- Analysis of renewable energy use in single-family housing
- Modeling of the harmonization method for executing a multi-unit construction project
- Effect of foam glass granules fillers modification of lime-sand products on their microstructure
- Volume Optimization of Solid Waste Landfill Using Voronoi Diagram Geometry
- Analysis of occupational accidents in the construction industry with regards to selected time parameters
- Bill of quantities and quantity survey of construction works of renovated buildings - case study
- Cooperation of the PTFE sealing ring with the steel ball of the valve subjected to durability test
- Analytical model assessing the effect of increased traffic flow intensities on the road administration, maintenance and lifetime
- Quartz bentonite sandmix in sand-lime products
- The Issue of a Transport Mode Choice from the Perspective of Enterprise Logistics
- Analysis of workplace injuries in Slovakian state forestry enterprises
- Research into Customer Preferences of Potential Buyers of Simple Wood-based Houses for the Purpose of Using the Target Costing
- Proposal of the Inventory Management Automatic Identification System in the Manufacturing Enterprise Applying the Multi-criteria Analysis Methods
- Hyperboloid offset surface in the architecture and construction industry
- Analysis of the preparatory phase of a construction investment in the area covered by revitalization
- The selection of sealing technologies of the subsoil and hydrotechnical structures and quality assurance
- Impact of high temperature drying process on beech wood containing tension wood
- Prediction of Strength of Remixed Concrete by Application of Orthogonal Decomposition, Neural Analysis and Regression Analysis
- Modelling a production process using a Sankey diagram and Computerized Relative Allocation of Facilities Technique (CRAFT)
- The feasibility of using a low-cost depth camera for 3D scanning in mass customization
- Urban Water Infrastructure Asset Management Plan: Case Study
- Evaluation the effect of lime on the plastic and hardened properties of cement mortar and quantified using Vipulanandan model
- Uplift and Settlement Prediction Model of Marine Clay Soil e Integrated with Polyurethane Foam
- IoT Applications in Wind Energy Conversion Systems
- A new method for graph stream summarization based on both the structure and concepts
- “Zhores” — Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
- Economic Disposal Quantity of Leftovers kept in storage: a Monte Carlo simulation method
- Computer technology of the thermal stress state and fatigue life analysis of turbine engine exhaust support frames
- Statistical model used to assessment the sulphate resistance of mortars with fly ashes
- Application of organization goal-oriented requirement engineering (OGORE) methods in erp-based company business processes
- Influence of Sand Size on Mechanical Properties of Fiber Reinforced Polymer Concrete
- Architecture For Automation System Metrics Collection, Visualization and Data Engineering – HAMK Sheet Metal Center Building Automation Case Study
- Optimization of shape memory alloy braces for concentrically braced steel braced frames
- Topical Issue Modern Manufacturing Technologies
- Feasibility Study of Microneedle Fabrication from a thin Nitinol Wire Using a CW Single-Mode Fiber Laser
- Topical Issue: Progress in area of the flow machines and devices
- Analysis of the influence of a stator type modification on the performance of a pump with a hole impeller
- Investigations of drilled and multi-piped impellers cavitation performance
- The novel solution of ball valve with replaceable orifice. Numerical and field tests
- The flow deteriorations in course of the partial load operation of the middle specific speed Francis turbine
- Numerical analysis of temperature distribution in a brush seal with thermo-regulating bimetal elements
- A new solution of the semi-metallic gasket increasing tightness level
- Design and analysis of the flange-bolted joint with respect to required tightness and strength
- Special Issue: Actual trends in logistics and industrial engineering
- Intelligent programming of robotic flange production by means of CAM programming
- Static testing evaluation of pipe conveyor belt for different tensioning forces
- Design of clamping structure for material flow monitor of pipe conveyors
- Risk Minimisation in Integrated Supply Chains
- Use of simulation model for measurement of MilkRun system performance
- A simulation model for the need for intra-plant transport operation planning by AGV
- Operative production planning utilising quantitative forecasting and Monte Carlo simulations
- Monitoring bulk material pressure on bottom of storage using DEM
- Calibration of Transducers and of a Coil Compression Spring Constant on the Testing Equipment Simulating the Process of a Pallet Positioning in a Rack Cell
- Design of evaluation tool used to improve the production process
- Planning of Optimal Capacity for the Middle-Sized Storage Using a Mathematical Model
- Experimental assessment of the static stiffness of machine parts and structures by changing the magnitude of the hysteresis as a function of loading
- The evaluation of the production of the shaped part using the workshop programming method on the two-spindle multi-axis CTX alpha 500 lathe
- Numerical Modeling of p-v-T Rheological Equation Coefficients for Polypropylene with Variable Chalk Content
- Current options in the life cycle assessment of additive manufacturing products
- Ideal mathematical model of shock compression and shock expansion
- Use of simulation by modelling of conveyor belt contact forces