Initial Investigation of Analytic Hierarchy Process to Teach Creativity in Design and Engineering

This paper investigates the use of Analytic Hierarchy Process to teach design creativity and innovation in undergraduate engineering students. Examples are included to assess its effectiveness in the classroom. The purpose of this research is to investigate the suitability of the Analytic Hierarchy Process (AHP) to teach design innovation and creativity in undergraduate engineering classrooms. AHP is a very structured, multi-criteria, decision-making process and traditionally has been used to solve complex problem sets. This investigation takes a fresh look at how AHP provides the framework to engage and encourage students to think creatively and innovatively in design and engineering. This paper presents several separate case studies that incorporate the AHP technique in the classroom to teach design innovation and creativity to undergraduate engineering students, including introduction at the freshmen engineering level. These case studies include: the design of a robotic water vehicle; the design of a coffee maker; and the design of a website. These diverse case studies explore the suitability of this decision-making technique across abroad range of design problems to assess how AHP can be utilized to give students a better understanding of the design process, to foster a personal motivation towards creative and innovative thinking and to equip students with a strategy for creative problem solving theycan use through their engineering careers. Students who participated in the case studies completed questionnaires to assess the application of AHP and its effectiveness to understand the problem and to reach a creative and innovative solution. Based on the results of these student questionnaires, there is positive evidence that AHP can be utilized to remove barriers that inhibit creativity and to foster an environment for students to achieve more design creativity and innovation in engineering classrooms. This study has implications to change the pedagogical approach used to teach engineering design and provides a methodology for design creativity that students will carry with them throughout their career

Negotiation and Decision Making to Develop a Public-Private-Partnership: A Case-Based Approach

Decision making in practice varies from theoretical models and processes. Unpredictable and ill-structured operating conditions require dynamic resolution approaches underpinned by effective negotiation and decision making strategies to support collaborative work and partnerships. This short paper evaluates negotiation strategies and decision making approaches adopted to reach agreement for a unique Public-Private-Partnership. It examines how decision criteria were formulated and decision rules generated through negotiation process executions, and uncertainties addressed by adopting multi-criteria and evidential reasoning approach. Findings are presented to help improve business performance in future PPPs by making effective decisions based on experience gained through past process execution

Use of the TOPSIS technique to choose the best supplier of quarry natural aggregate

Purpose. All over the world, natural substance – the most consumed after water – is the aggregate. The aim of this paper is to select the best supplier of Quarry Natural Aggregate (QNA). Methods. Selection of the best supplier of QNA is performed using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach, and the method of weights based on ordinal ranking of criteria, and Lagrange multiplier. Findings. In this article, the proposed Multi-Criteria Decision Making (MCDM) approach helps the decision maker(s) to choose the best supplier of QNA amongst the considered and evaluated suppliers. Originality. During negotiation with suppliers, many are the decision makers which only attach an importance at two criteria (unit price and quality, or unit price and delivery time). Thereby, other criteria are not taken into account. Consequently, supplier selection would become not-efficient. The originality of this work is based on the multi-criteria approach to choose the best supplier of QNA. Practical implications. The efficient choice of the best supplier of QNA represents a practical and economical value for the enterprises of the civil engineering, public works, railway and hydraulic works.Мета. Обґрунтування та вибір оптимального постачальника кар’єрного щебню як природного заповнювача на основі використання багатокритеріального методу. Методика. Вибір найкращого постачальника кар’єрного природного заповнювача здійснювався за допомогою багатокритеріального методу аналізу варіантів за ступенем близькості до оптимального (TOPSIS) і методу вагових коефіцієнтів на основі порядкового ранжирування критеріїв та множника Лагранжа. Результати. Підхід, що описується в статті, заснований на багатокритеріальному прийнятті рішень і дозволяє обрати кращого постачальника природного заповнювача серед наявних та розглянутих на ринку компаній. В якості ілюстрації запропонована методологія застосована до чисельного прикладу. Це дозволило визначити вагу впливових на оцінку критеріїв, оцінку значень характеристик кожного розглянутого постачальника QNA, встановлення рейтингу розглянутих постачальників QNA і вибір альтернативи {a4} в якості кращого постачальника QNA. Наукова новизна. Вперше для вибору оптимального постачальника природного заповнювача крім факторів ціни і якості встановлено характер впливу на загальну оцінку також ряду інших факторів: вартість транспортування, транспортна відстань, час доставки, гарантійна політика й рівень відхилення. У даній роботі вперше пропонується багатокритеріальний підхід до вибору оптимального постачальника природного заповнювача кар’єра. Практична значимість. Ефективний вибір постачальника природного заповнювача кар’єра важливий з практичної та економічної точок зору для підприємств у галузі цивільного будівництва, громадських робіт, залізниці та гідротехнічних споруд.Цель. Обоснование и выбор оптимального поставщика карьерного щебня как природного заполнителя на основе использования многокритериального метода. Методика. Выбор лучшего поставщика карьерного природного заполнителя осуществлялся с помощью многокритериального метода анализа вариантов по степени близости к оптимальному (TOPSIS) и метода весовых коэффициентов на основе порядкового ранжирования критериев и множителя Лагранжа. Результаты. Подход, описываемый в статье, основан на многокритериальном принятии решений и позволяет выбрать лучшего поставщика природного заполнителя среди имеющихся и рассматриваемых на рынке компаний. В качестве иллюстрации предложенная методология применена к числовому примеру. Это позволило определить вес влияющих на оценку критериев, оценку значений характеристик каждого рассматриваемого поставщика QNA, установление рейтинга рассматриваемых поставщиков QNA и выбор альтернативы {a4} в качестве лучшего поставщика QNA. Научная новизна. Впервые для выбора оптимального поставщика природного заполнителя кроме факторов цены и качества установлен характер влияния на общую оценку также ряда других факторов: стоимость транспортирования, транспортное расстояние, время доставки, гарантийная политика и уровень отклонения. В данной работе впервые предлагается многокритериальный подход к выбору оптимального поставщика природного заполнителя карьера. Практическая значимость. Эффективный выбор поставщика природного заполнителя карьера важен с практической и экономической точек зрения для предприятий в области гражданского строительства, общественных работ, железной дороги и гидротехнических сооружений.The authors thank all the colleagues which have contributed to the realization of this research work

Potential application of LDPE plastic waste into tiles

Plastic has interesting characteristics which makes it the most used material in the world. However, plastic is known to be a non-biodegradable material which unable to naturally decompost in soil and thus contribute to environmental issue. As alternative, plastic waste has been recycled to produce quality and sustainable construction materials as the source is abundant. Thus, this study is carried out to utilize plastic waste particularly low density polyethylene (LDPE) and with sand in manufacturing tiles in two different sand and plastic waste ratios of 2:1 and 2:2. The tiles manufactured were further analyzed for their water absorption and compressive strength. It was found that the tiles made of mixture ratio of 2:2 have higher compressive strength and lower weight compared to that of 2:1 ratio. The average weight of tiles for 2:1 ratio was 891.59 g, while ratio 2:2 produced tiles with weight of 1319.5 g. Tiles manufactured from the plastic waste also showed better water absorption and compressive strength compared to normal cement tiles

AI and OR in management of operations: history and trends

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

Multi-stakeholder partnerships in affordable rental housing: An investigation using soft systems framework

Queensland Department of Housing has proposed the use of partnerships as one possible option to deliver affordable housing outcomes. Although this initiative is supported by other stakeholders, many constraints have impeded its implementation for the delivery of real projects. Whilst it might find application for mixed housing projects with some relaxation on tax and/ or planning requirements, in general, affordable housing has not been seen as a valuable investment. Moreover, the partnerships require stakeholders to work across boundaries and outside their comfort zones.\ud \ud This initial study examines the use of soft systems framework to explore stakeholders’ views of multi-stakeholder partnerships in affordable rental housing. A series of in-depth interviews with major stakeholders representing housing providers, regulators and users in Queensland has been conducted. \ud \ud Soft systems methodology has been used to express the unstructured problem by using systematic thinking to develop a conceptual model to solve the problem. A complex problem is broken down into role, social system and political system analyses. This study provides an example of using systematic thinking in solving conflicting problems. The gap between the conceptual model and implementation in the real world situation was also investigated. Major changes in the socio-cultural aspects of the broader community as well as between stakeholders were required to implement the further development of multi-stakeholder partnerships for affordable rental housing

Evaluating strategies for implementing industry 4.0: a hybrid expert oriented approach of B.W.M. and interval valued intuitionistic fuzzy T.O.D.I.M.

open access articleDeveloping and accepting industry 4.0 influences the industry structure and customer willingness. To a successful transition to industry 4.0, implementation strategies should be selected with a systematic and comprehensive view to responding to the changes flexibly. This research aims to identify and prioritise the strategies for implementing industry 4.0. For this purpose, at first, evaluation attributes of strategies and also strategies to put industry 4.0 in practice are recognised. Then, the attributes are weighted to the experts’ opinion by using the Best Worst Method (BWM). Subsequently, the strategies for implementing industry 4.0 in Fara-Sanat Company, as a case study, have been ranked based on the Interval Valued Intuitionistic Fuzzy (IVIF) of the TODIM method. The results indicated that the attributes of ‘Technology’, ‘Quality’, and ‘Operation’ have respectively the highest importance. Furthermore, the strategies for “new business models development’, ‘Improving information systems’ and ‘Human resource management’ received a higher rank. Eventually, some research and executive recommendations are provided. Having strategies for implementing industry 4.0 is a very important solution. Accordingly, multi-criteria decision-making (MCDM) methods are a useful tool for adopting and selecting appropriate strategies. In this research, a novel and hybrid combination of BWM-TODIM is presented under IVIF information