Root Cause Analysis in Business Processes

Conceptual modeling is an important tool for understanding and revealing weaknesses of business processes. Yet, the current practice in reengineering projects often considers simply the as-is control flow and uses the respective model barely as a reference for brain-storming about improvement opportunities. This approach heavily relies on the intuition of the participants and misses a clear description of steps to identify root causes of problems. In contrast to that, this paper introduces a systematic methodology to detect and document the quality dimension of a business process. It builds on the definition of softgoals for each process activity, of correlations between softgoals, and metrics to measure the occurrence of quality issues. In this regard our contribution is a foundation of root-cause analysis in business process modeling, and a conceptual integration of goal-based and activity-based approaches to capturing processes

Exploring the role of servitization to overcome barriers for innovative energy efficiency technologies – the case of public LED street lighting in German municipalities

In this paper we analyse the case for public application of LED street lighting. Drawing from the energy services literature and transaction cost economics, we compare modes of lighting governance for modernisation. We argue that servitization can accelerate the commercialisation and diffusion of end-use energy demand reduction (EUED) technologies in the public sector if third party energy service companies (ESCo) overcome technological, institutional and economic barriers that accompany the introduction of such technologies resulting in transaction costs. This can only succeed with a supportive policy framework and an environment conducive towards the dissemination of specific technological and commercial knowledge required for the diffusion process

FDI Outflows from India: An Examination of the underlying Economics, Policies and their Impact

This paper discusses the trends in India's outward FDI over the last decade and then attempts to identify the driving factors for the same. The aim is to provide policy makers with insights regarding levers which would help in encouraging FDI outflows and to stimulate further research in foreign investment from emerging economies. The analysis is based on 287 instances of foreign investment from India by top Indian companies across 17 sectors. The paper draws on the "eclectic" paradigm to study the impact of ownership, location and internalization variables on India's foreign investment. A sector wise analysis of mode of entry, intent of entry and geographic concentration has been performed. At an aggregate level, it has been found that acquisitions have been the predominant mode of entry for Indian firms investing abroad and seeking new markets the primary intent of investment. A regression model was also developed to understand the impact and relative importance of owndership variables such as distribution system, need for resources, factor of production, post sales service requirement, presence of IP and brand on foreign investment from India. It was found that high distribution expenses and need for resources had a very positive influence on foreign investment. The paper also discusses the key policy changes that impacted outward FDI from India in the last decade and relationship of outward FDI with other macroeconomic indicators such as GDP and Fischer Open Differential.

From supply chains to demand networks. Agents in retailing: the electrical bazaar

A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

Preliminary human safety assessment (PHSA) for the improvement of the behavioral aspects of safety climate in the construction industry

Occupational safety in the construction industry still represents a relevant problem at a global level. In fact, the complexity of working activities in this sector requires a comprehensive approach that goes beyond normative compliance to guarantee safer working conditions. In particular, empirical research on the factors influencing the unsafe behavior of workers needs to be augmented. Thus, the relationship between human factors and safety management issues following a bottom-up approach was investigated. In particular, an easy-to-use procedure that can be used to better address workers' safety needs augmenting the company's safety climate and supporting safety management issues was developed. Such an approach, based on the assessment of human reliability factors, was verified in a real case study concerning the users of concrete mixer trucks. The results showed that the majority of human failures were action and retrieval errors, underlining the importance of theoretical and practical training programs as a means to improve safety behavior. In such a context, information and communication activities also resulted beneficially to augment the company's safety climate. The proposed approach, despite its qualitative nature, allows a clearer understanding of workers' perceptions of hazards and their risk-taking behavior, providing practical cues to monitor and improve the behavioral aspects of safety climate. Hence, these first results can contribute to augmenting safety knowledge in the construction industry, providing a basis for further investigations on the causalities related to human performances, which are considered a key element in the prevention of accidents

Achieving Ultra-Low Latency in 5G Millimeter Wave Cellular Networks

The IMT 2020 requirements of 20 Gbps peak data rate and 1 millisecond latency present significant engineering challenges for the design of 5G cellular systems. Use of the millimeter wave (mmWave) bands above 10 GHz --- where vast quantities of spectrum are available --- is a promising 5G candidate that may be able to rise to the occasion. However, while the mmWave bands can support massive peak data rates, delivering these data rates on end-to-end service while maintaining reliability and ultra-low latency performance will require rethinking all layers of the protocol stack. This papers surveys some of the challenges and possible solutions for delivering end-to-end, reliable, ultra-low latency services in mmWave cellular systems in terms of the Medium Access Control (MAC) layer, congestion control and core network architecture

Project selection in project portfolio management: an artificial neural network model based on critical success factors

While a growing body of literature focuses in detecting and analyzing the main reasons affecting project success, the use of these results in project portfolio management is still under investigation. Project critical success factors (CSFs) can serve as the fundamental criteria to prevent possible causes of failures with an effective project selection process, taking into account company strategic objectives, project manager’s experience and the competitive environment. This research proposes an innovative methodology to help managers in assessing projects during the selection phase. The paper describes the design, development and testing stages of a decision support system to predict project performances. An artificial neural network (ANN), scalable to any set of CSFs, classifies the level of project’s riskiness by extracting the experience of project managers from a set of past successful and unsuccessful projects

Is there a green premium for Chinese green labelled homes in Shanghai?

Màster universitari en Estudis Avançats en Arquitectura: Gestió i Valoració Urbana i Arquitectònic

Utilisation of order processing technology for logistics process improvement in the Nigerian construction industry

The logistic technologies for effective and efficient ‘order processing operations’ in the areas of tracking, shipping, replenishment, dispatching and holding of inventory are deficient in the Nigerian construction industry, when compared to manufacturing and retailing sectors. This is confirmed to have a significant effect on the performance of the construction sector. This article assessed how order processing technology utilised by manufacturing and retail industries could improve the order processing logistics operations of the construction industry. Lagos State and the F.C.T. Abuja, Nigeria, were the selected geographical study areas, from which five manufacturing companies, five retailing companies and five construction projects were purposively selected. Mixed methods research strategy was used. The research instruments included an observation guide (quantitative) and semi-structured interviews (qualitative). The collected quantitative data was analysed, using descriptive analytical tools: frequencies and percentiles. The qualitative data was analysed, using the thematic method. The result revealed that 80% and 100% of the manufacturing and retailing industries, respectively, observed, adopted barcoding technology for order processing purposes. Only 40% of the observed construction project adopted barcoding technology for order processing in the following: 2.4% for receiving process; 0.9% for put-away process; 0.9% for shipping process (stock control); 1.2% for dispatching process; 0.6% for replenishment process, and 1.2% for tracking inventory (stock tracking). In addition, 100% and 80% of the manufacturing and retailing industries, respectively, observed, adopted Radio Frequency Identification (RFID) technology for order processing purposes. Only 40% of the observed construction projects adopted RFID technology for order processing. It was also revealed that utilisation of the order processing technology could have the following benefits: managerial control in the construction industry; shorter processing time; easy way of tracking materials on site, and increased speed of work in the construction industries. The research concludes that effective utilisation of order processing technology in the logistics system could lead to full efficiency gains in the order processing aspect of the construction industry. It is recommended that the Federal Government of Nigeria should mandate all major construction project stakeholders to attend workshops on the use of recent technologies in the management of construction operations