Multi-period resource allocation for estimating project costs in competitive bidding

Takano, Yasunari; Ishii, Nobuaki; Muraki, Masaaki

doi:10.1007/s10100-016-0438-7

Cited by 12 publications

(5 citation statements)

References 32 publications

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“…The DEA method was then formulated. Over the years, the method has been widely applied in various fields to calculate both the technical and economic efficiency of the functioning of enterprises as complex systems [56][57][58][59].…”

Section: Basic Conceptsmentioning

confidence: 99%

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Algorithm for Application of a Basic Model for the Data Envelopment Analysis Method in Technical Systems

Pokushko,

Stupina,

Medina-Bulo

et al. 2023

Algorithms

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The aim of this study is to solve the problem of increasing the efficiency of fuel and energy complex enterprises. Because such enterprises are complex systems, it is difficult to optimize their work, taking into account all the technical indicators of such enterprises. This study proposes to solve this problem by defining an algorithm using the data envelopment analysis (DEA) method. In particular, the algorithm was applied in heating systems using the example of a combined heat and power plant, where the DEA method had not previously been used. Experiments were carried out to improve the efficiency of the combined heat and power plant. Efficiency indicators were calculated, changing inputs and outputs of the model according to the study case to achieve the maximum efficiency of the system. The Charnes; Cooper and Rhodes; and the Banker, Charnes, and Cooper models were tested with good results. The presented methodology and experimental results enabled the DEA method to be applied for the first time to improve the efficiency of fuel and energy companies.

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Section: Basic Conceptsmentioning

confidence: 99%

“…This model does not have an input or output orientation. The ADD function of the model determines the efficiency identified from the reserve variables [59].…”

Section: Related Workmentioning

confidence: 99%

Algorithm for Application of a Basic Model for the Data Envelopment Analysis Method in Technical Systems

Pokushko,

Stupina,

Medina-Bulo

et al. 2023

Algorithms

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“…The researches of Takano et al [16] are devoted to one of the directions of resource allocation in complex systems. Shao et al [17] also suggest applying the DEA method to evaluate the effectiveness of a grid of branches in a large enterprise with a centralized management structure.…”

Section: Problem Formulationmentioning

confidence: 99%

Evaluating the Efficiency of Heat and Power Systems by the Data Envelopment Analysis Method

Pokushko

Ступина

Medina‐Bulo

et al. 2021

Wseas Transactions on Power Systems

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The article describes the Data Envelopment Analysis (DEA) method and the main features of its application. The main problems of heat and power systems are described, which are addressed by the DEA method of efficiency assessment presented in the article. The approbation of this method is presented at the objects of the centralized municipal heat supply system of the fuel and energy complex: boiler houses and heat and power plants. 9 objects were analyzed according to four input indicators: available heat capacity, installed heat capacity, heat consumption for own needs, fuel consumption. Also, the efficiency of the system was evaluated according to two output indicators: the release of thermal energy to the grid and the mass of the emission. As a result of the analysis and calculations made, it was revealed that 5 objects have the maximum possible efficiency indicator equal to 1, that is, they function as efficiently as possible. 4 objects of the centralized municipal heat supply system have an efficiency indicator less than 1. Accordingly, improvements are required for the operation of the above Decision-Making Units (DMU)s. These objects have deviations in terms of the inputs and outputs of the actual data and those obtained using the DEA method. Based on the calculations obtained for these 4 objects, the article provides recommendations for changing the quantitative values of their input and output indicators. For example, for object number 2, it is recommended to reduce the installed heat capacity in the grid by 72.57%, without changing the available heat capacity and fuel consumption. Reduce the heat consumption for your own needs by 69.383%. In addition, it is recommended to increase the supply of thermal energy to the grid by 6,034%, and reduce the mass of emission by 11.5%. Specific measures have also been developed to modernize the studied objects in order to achieve the recommended indicators of inputs and outputs. The research results presented in the article are of scientific and practical interest and can be used to improve the efficiency of heat and power systems facilities

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“…Contractor organisations often take part in competitive tendering, and the profitability of their bids is governed by their bidding strategies (Takano et al , 2017). The term “construction competition” refers to competitive tendering undertaken by competing contractor organisations with profit maximisation as their prime goal (Reinschmidt and Kim, 2006).…”

Section: Introductionmentioning

confidence: 99%

A “knowledge value chain” framework for contractor organisations to maximise chances of winning tenders

Dewagoda

Perera

Senaratne

2020

BEPAM

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PurposeKnowledge is a critical asset that places contractor organisations at a competitive advantage when they take part in competitive tendering. However, a dearth of literature exists on the mechanisms that contractor organisations can adopt to utilise knowledge to gain competitive advantage and win tenders through competitive tendering.Design/methodology/approachThe study adopted an interpretive stance with a qualitative approach that comprised a literature review, 15 expert interviews and three case studies. The literature review and expert interview findings were used to develop an intermediate framework of knowledge value chain (KVC), while the case study findings were used to develop the final KVC framework with the intermediate framework as the basis.FindingsThe study developed, in three distinctive steps, a KVC framework based on Powell's (2001) KVC for use by the tendering divisions/units of contractor organisations employing quantity surveyors (QSs) to handle tendering work and to increase their chances of winning tenders.Originality/valueThe study developed a KVC framework for the use of contractor organisations to maximise their chances of winning tenders in the field of quantity surveying.

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Multi-period resource allocation for estimating project costs in competitive bidding

Cited by 12 publications

References 32 publications

Algorithm for Application of a Basic Model for the Data Envelopment Analysis Method in Technical Systems

Algorithm for Application of a Basic Model for the Data Envelopment Analysis Method in Technical Systems

Evaluating the Efficiency of Heat and Power Systems by the Data Envelopment Analysis Method

A “knowledge value chain” framework for contractor organisations to maximise chances of winning tenders

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