DEVELOPING METHODOLOGY FOR CRADLE TO GRAVE COST PLANNING FOR INDUSTRIALISED BUILDING SYSTEM (IBS) IN MALAYSIA

2015 ◽  
Vol 77 (16) ◽  
Author(s):  
Siti Mazzuana Shamsuddin ◽  
Rozana Zakaria ◽  
Sarajul Fikri Mohamed ◽  
Abd. Latif Saleh ◽  
Christiono Utomo ◽  
...  

This paper presents a proposed research methodology undertaken by a researcher to investigate the most accurate and appropriate method to generate a cradle to grave cost planning for Industrialised Building System (IBS) in the Malaysian construction industry. The methodology was intended to bring out accurate results and provide useful sources for the induction of emerging insights relating to the problem identified, which is how the current cost planning used for IBS projects helps in terms of cost control from pre-contract until the demolition of the building. At the end of this research, a proposed cradle to grave cost planning method was produced. To achieve the aims and objectives of this research, both quantitative and qualitative methods were applied. A quantitative research method in the form of a questionnaire survey was conducted to investigate which method is mostly used in preparing cost planning for IBS both from contractors’ and consultants’ point of view. The next stage of data collection was involved in-depth qualitative investigation using face-to face interviews meant to get in-depth views of each cost planning method’s advantages and barriers and what does it need to include to produce an effective cost planning for IBS elements. To complete the triangulation approach, expert group participations and validation were conducted to contribute essential thoughts in producing a comprehensive cradle to grave cost planning method, as well as validating the findings from the research. This method offers alternatives of cost planning and control over the project, and suitable for either IBS or conventional method.

Author(s):  
Peter Fettke ◽  
Peter Loos

Within the information systems field, reference models have been known for many years. A reference model is a conceptual framework and may be used as a blueprint for information systems development. Despite the relevance of reference model quality, little research has been undertaken on their systematical analysis and evaluation. In this chapter, we describe how reference models can be analyzed from an ontological point of view. Such an analysis consists of four steps: 1) developing a transformation mapping, 2) identifying ontological modeling deficiencies, 3) transforming the reference model, and 4) assessing the results. The usefulness of our method will be demonstrated by analyzing Scheer’s reference model for production planning and control. Although our approach is based on sound theory, we argue that this approach is not inherently superior to other approaches of reference model analysis and evaluation.


Author(s):  
Nisamar Baute-Díaz ◽  
Desiderio Gutiérrez-Taño ◽  
Ricardo Díaz-Armas

PurposeThe purpose of this paper is to study the role of social interaction and reputation when reviewing experiences on the Airbnb platform. Recent studies have suggested that social interaction and aspects related to reputation may encourage positive bias in the case of online ratings and comments.Design/methodology/approachA qualitative research method was used. In total, 20 semi-structured in-depth interviews were conducted with non-professional Airbnb hosts and guests resident on the island of Tenerife (Canary Islands).FindingsFace-to-face interaction between the host and guest could lead to the moderation or omission of negative comments by guests. Reputation is a relevant factor that affects the behaviour of the users on the platform. Users are expected to behave in accordance with certain conventions learned when using the platform.Research limitations/implicationsThe exploratory analysis must be complemented by other quantitative research. The hosts interviewed are not professional hosts.Practical implicationsIt is recommendable for hosts offering average accommodation to pay special attention to welcoming and assisting their guests, with the aim of boosting their reputation on the platform.Originality/valueThis is the first qualitative study to deal with the effect of social interaction and reputation from the point of view of hosts and guests when reviewing experiences on the Airbnb platform.


2021 ◽  
pp. 125-142
Author(s):  
Alexander Rokoss ◽  
◽  
Kathrin Kramer ◽  
Matthias Schmidt

Technological progress and increasing digitalization offer many opportunities to production companies, but also continually present them with new challenges. The automation of processes is progressing in manufacturing areas and technical support systems, such as human-robot collaboration, are leading to significant changes in workflows. However, in other areas of companies large parts of the work are still done by humans. This is partly the case with the use of production data. Although much data is already collected and sorted automatically, the final evaluation of this data and especially decision-making is often done by humans. In particular, this is the case for decisions that cannot clearly be made based on conditional programming. The use of machine learning (ML) represents a promising approach to make such complex decisions automatically. A sharp increase in scientific publications in the recent years demonstrates the trend that more and more companies and institutions are looking into the use of machine learning in production. Since ML is beeing applied across several industries, the resulting massive shortage of skilled workers in the field of ML has to be addressed in short and medium terms by training and educating existing employees in production companies. A contemporary approach to building competencies in dealing with problems in the manufacturing sector is the use of learning factories as a knowledge transfer enabler. They offer learners the opportunity to try out methods in a realistic environment without having to fear negative consequences for the company. The results of actions performed by participants can be experienced directly without any time delay, resulting in better learning results compared to conventional face-to-face teaching. This chapter shows how learning factories can support teaching machine learning methods in the field of PPC. For this purpose, the determination of lead times using real data sets is addressed with ML-based methods. Parallelly, the competencies required for the respective tasks were extracted. Based on this, elements of a learning factory were designed that simplifies the considered processes, so that the problem can be easily understood by learners. The last part of the chapter describes several learning factory game phases aiming on teaching the identified competencies. The described learning factory enables participants to setup ML-based projects in the context of manufacturing.


2021 ◽  
Vol 2021 (7) ◽  
pp. 54-74
Author(s):  
Igor MANTSUROV ◽  
◽  
Yana KHRAPUNOVA ◽  
Valeriy OMELCHENKO ◽  
◽  
...  

The aim of this article is to develop a conceptual model of the institutional analysis, planning and control comprehensive system, which, according to the authors’ point of view, has to be integrated organically into the overall system of the governmental management. The article starts with the analysis of the of the “new institutional economics” methodology’s contributions to theoretical research in the area of applied economics, with particular emphasis to developing countries, particularly to Ukraine. Then authors continue by providing an overview of the new institutional economics theory and methodology as well as their several branches. Particularly, it is described the authors’ point of view in regard to the fundamental definitions of the institutional theory. One of the article’s purposes is to outline the basic features of the institutional planning theory and to justify its interpretation in the general planning theory framework. Carrying out this task, the authors describe the existing diversity of planning theories and the main achievements of the new institutional economics in the development and implementation of planning procedures. From authors’ point of view, institutional planning is the economic theory in which planning is described as the sequence of actions of organizations or/and people responsible for planning procedures and stakeholders in order to get the immediate and final planning results. The successful implementation of such model would help the planners and stakeholders to get the results that consist in the effectiveness of the national economy and its competitiveness.


Author(s):  
Peter Fettke ◽  
Peter Loos

Within the information systems field, reference models have been known for many years. A reference model is a conceptual framework and may be used as a blueprint for information systems development. Despite the relevance of reference model quality, little research has been undertaken on their systematical analysis and evaluation. In this chapter, we evaluate Scheer’s reference model for production planning and control systems from an ontological point of view. The evaluation is based on the Bunge-Wand-Weber ontology. Several ontological anomalies are found in Scheer’s reference model. The obtained knowledge is useful for selecting, applying, and extending the reference model.


2015 ◽  
Vol 12 (4) ◽  
pp. 78-90 ◽  
Author(s):  
Joshua Oluwasuji Dada ◽  
Godwin Onajite Jagboro

AbstractDeployment of appropriate skills and competencies is crucial and germane to the development and continuous relevance of any profession. In the built environment, the science for selecting the required skills and competencies expected of quantity surveyors and understanding the inherent dependencies between them remains a research issue. The purpose of this study was to determine the skill requirements and competencies expected of quantity surveyors. A structured questionnaire was administered among quantity surveyors, architects, engineers, builders and clients in Nigeria. The respondents were asked to give rating, on a 5 point Likert scale, on usual skills and competencies required of quantity surveyors. A secondary objective of the study was to examine the important skills and competencies and categorized them into core skill, basic skill, core competence, optional competence and special competence. The results of the study indicate the important skills as computer literacy, building engineering, information technology, economics, measurement/quantification and knowledge of civil/heavy engineering works. The results also indicate the important competencies as cost planning and control, estimating, construction procurement system, contract documentation, contract administration and project management. It is emphasized that the findings of the research have considerable implications on the training and practice of quantity surveying in Nigeria.


2002 ◽  
Vol 17 (2) ◽  
pp. 149-161 ◽  
Author(s):  
Ramji Balakrishnan ◽  
Geoffrey B. Sprinkle

We present a framework for integrating profit variance analysis and capacity costing to provide better managerial information. The framework expands traditional variance analysis to incorporate planned and unplanned changes in inventory levels and the use of practical capacity to determine overhead rates. The framework has practical value because effective cost management and performance evaluation require ascertaining the costs (effects on profit) associated with capacity and the manner in which it is being used. Pedagogical value stems from connecting concepts underlying the choice of a denominator volume to set overhead rates, the profit effects of inventory changes, and variance analysis. By virtue of its generality, the framework enhances the value of capacity costing and profit variance analysis for management planning and control.


2020 ◽  
Vol 25 ◽  
pp. 254-271
Author(s):  
Eran Haronian ◽  
Rafael Sacks

Road construction is fundamentally different to building construction, in terms of its products, the types of work and operations, and the resources used. One of the key differences from the point of view of planning and control of production flow is that roads are composed of geometrically continuous courses rather than discrete ‘products’, making work packaging difficult. Clearly defined work packages that comprise work performed on distinct products are central to lean construction methods of planning and control, such as the Last Planner System. We therefore propose a product schema which models road sections with distinct road course segments that are dynamically defined aggregations of 'roadels'. A roadel is a fine-grained vertical triangular prism object that can be dynamically aggregated with other roadels to represent a road course segment associated with a work package, a planned task, or an as-built section. The schema represents the continuous nature of road construction, and its discrete entities enable representation and computations of as-made work using the raw data obtained from machine-mounted sensors and land surveys. We describe the information schema and illustrate its use for computation and analysis of lean production flow metrics. The schema has been tested using case study data from a 25,000 m2 parking lot project, which was modeled with more than 560,000 roadels with as-made status data collected from 33 working days over a period of two months.


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