The sustainable project management: A review and future possibilities

Chawla, V. K.; Chanda, Arindam Kumar; Angra, Surjit; Chawla, Gaurav

doi:10.5267/j.jpm.2018.2.001

Cited by 62 publications

(53 citation statements)

References 66 publications

(86 reference statements)

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“…leaving a negative difference student need to get experiential learning. Besides that the laboratory facilities available are generally set up in the form of experimental simulative incubate miniatures as a learning tool not to produce real goods or services for the market (Andersen & Grude, 2018;Chawla et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Synchronization of the Potential of Industrial World With School Profiles Vocational to Improve Quality and Capability Graduates of Vocational Schools in Indonesia

Mukhadis

Ulfatin

Putra

2019

JIP

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Synchronization of the Potential of Industrial World with School Profiles Vocational to Improve Quality and Capability Graduates of Vocational Schools in Indonesia. This study aims to map: (1) the potential of the business and industry that has the opportunity to collaborate with vocational fields; (2) profile of vocational field school (SMK) business in improving the quality of education; and (3) synchronizing the potential of the industrial world with the business profile of the SMK. This research was conducted using qualitative methods. The research location was centered in the East Java region with samples divided into three regions, namely the northern region, the southern region, and the eastern region. This study reveals that: (1) the industrial world has the opportunity to establish cooperation with vocational schools, namely the handicraft industry, food processing, creative arts, engineering technology, processed seafood, and materials; (2) priority programs for Vocational Schools in East Java include: improvement in special expertise, school-based enterprise programs, demand-market-driven programs, hands on experience programs, production based education programs, on-the-job teacher training programs, on the job programs student training, classical indoor and outdoor programs, training to be entrepreneur programs, and center test recruitment programs; and (3) synchronizing the map of the potential of the industrial world that has the opportunity to establish cooperation with vocational schools with a profile of Vocational Schools is very necessary because it can improve the quality and capability of vocational graduates.

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Section: Discussionmentioning

confidence: 99%

Synchronization of the Potential of Industrial World With School Profiles Vocational to Improve Quality and Capability Graduates of Vocational Schools in Indonesia

Mukhadis

Ulfatin

Putra

2019

JIP

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“…In the present era of technology, the infusion of machine learning algorithms into different machine tools has emerged as an innovative way to minimize the human involvement for different machining operations and also to improve accuracy and productivity in various machining operations. The use of machine learning algorithms into the machine tools promotes the development of artificial intelligence into the different machines by experienced-based learning (Sadjadi & Makui, 2002;Sadrabadi & Sadjadi, 2009;Moghaddam et al, 2012;Angra et al, 2018;Balic et al, 2006;Chanda et al, 2018;Deb et al, 2006;Chawla et al, 2017;Chawla et al, 2018aChawla et al, , 2018bChawla et al, , 2018cChawla et al, , 2018dChawla et al, , 2019aChawla et al, , 2019bChawla et al, , 2019cChawla et al, , 2019d. Commonly the machine learning algorithm is provided with some data sets or machining programs which are used for training of the algorithm (Warwick, 2013;Russell & Norvig, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparison of machine learning algorithms for the automatic programming of computer numerical control machine

Sharma¹,

Chawla²,

Ram³

2020

10.5267/j.ijdns

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The computer numerical control (CNC) machines are chiefly used for the production of jobs with high accuracy and high speed. The CNC machining centers perform the machining operations according to the given program instructions which are commonly programmed by a CNC programmer. In this paper, a procedure to develop an automatic CNC program for machining of different types of holes by using different machine learning algorithms is developed. The machine learning algorithms namely support vector machine (SVM) and restricted boltzmann machine algorithm (RBM) with deep belief network (DBN) are used for the automatic development of CNC machining programs of different types of holes. Initially, the position and other parameters of machining operations are identified and thereafter the CNC machining program is developed by using the MATLAB application. The automatically developed CNC programs are tested on a CNC simulator. It is found that the application of RBM machine learning algorithm with DBN outperforms the SVM machine learning algorithm for the development of automatic CNC machining program for the machining of blind holes, through holes, counterbores and countersink operations.

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“…These effort, however, come at the expense of the environment (Banihashemi, Hosseini, Golizadeh, & Sankaran, 2017;Hosseini et al, 2017). In order to achieve long-term economic gains along with preserving the built environment, there is an immediate need to move through sustainability in every field of business, including construction project management (Chawla, Chanda, & Angra, 2018).…”

Section: Introductionmentioning

confidence: 99%

Integrating sustainability into construction project management: Barriers in developing countries

Fathalizadeh

Ghoddousi

Javid

et al. 2019

Modern Building Materials, Structures and Techniques (MBMST)

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This paper is an attempt to explore the barriers to integrating sustainability into construction project management in developing countries. To this end, a comprehensive review of the literature is conducted, as a result of which a list of 30 barriers is culled from existing studies. The list of barriers is subsequently assessed in terms of relative importance index (RII) through a survey questionnaire administered to Iranian construction industry experts, resulting in a dataset of 176 completed questionnaires. Findings bring to light the most influential barriers to incorporating sustainability in construction projects for a developing country. These were: (1) lack of understanding of the potential selfbenefits of proactivity and high economic risks that unsustainable practices may carry, (2) inadequate assessment of risks and a silo-based approach, namely, insufficient cooperation among practitioners, research institutions and environmental organisations and (3) the lack of a systematic approach to planning and acting for the fulfilment of sustainability goals. As one of the first studies in its kind, the paper offers invaluable insight for researchers, practitioners, and policy makers, in supporting the transition of construction project management practices towards fulfilling sustainable development goals.

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The sustainable project management: A review and future possibilities

Cited by 62 publications

References 66 publications

Synchronization of the Potential of Industrial World With School Profiles Vocational to Improve Quality and Capability Graduates of Vocational Schools in Indonesia

Synchronization of the Potential of Industrial World With School Profiles Vocational to Improve Quality and Capability Graduates of Vocational Schools in Indonesia

Comparison of machine learning algorithms for the automatic programming of computer numerical control machine

Integrating sustainability into construction project management: Barriers in developing countries

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