Managing the trade-off implications of global supply

The cost versus response trade-off is a growing logistics issue due to many markets being increasingly characterized by demand uncertainty and shorter product life cycles. This is exacerbated further with supply increasingly moving to low cost global sources. However, the poor response implications of global supply are often not addressed or even acknowledged when undertaking such decisions. Consequently, various practical approaches to minimising, postponing or otherwise managing the impact of the demand uncertainty are often only adopted retrospectively. Even though such generic solutions are documented through case examples we lack effective tools and concepts to support the proactive identification and resolution of such trade-offs. This paper reports on case-based theory building research, involving three cases from the UK and USA used in developing a conceptual model with associated tools, in support of such a process

How Lean Six Sigma and Agile principles optimize ITIL-based processes

Imagine the potential implications of an organization whose business and IT processes are well aligned and are capable of reactively and proactively responding to the external and internal changes. The Philips IT Infrastructure and Operations department (I&O) is undergoing a series of transformation activities to help Philips business keeping up with the changes. I&O would serve a critical function in any business sectors; given that the I&O’s strategy switched from “design, build and run” to “specify, acquire and performance manage”, that function is amplified. In 2013, I&O’s biggest transforming programme I&O Futures engaged multiple interdisciplinary departments and programs on decommissioning legacy processes and restructuring new processes with respect to the Information Technology Internet Library (ITIL), helping I&O to achieve a common infrastructure and operating platform (CI&OP). The author joined I&O Futures in the early 2014 and contributed to the CI&OP release 1, during which a designed model Bing Box and its evaluations were conducted through the lens of six sigma’s structured define-measure-analyze-improve-control (DMAIC) improvement approach. This Bing Box model was intended to firstly combine business and IT principles, namely Lean IT, Agile, ITIL best practices, and Aspect-oriented programming (AOP) into a framework. Secondly, the author implemented the modularized optimization cycles according to the defined framework into Philips’ ITIL-based processes and, subsequently, to enhance business process performance as well as to increase efficiency of the optimization cycles. The unique of this thesis is that the Bing Box model not only provided comprehensive optimization approaches and principles for business process performance, but also integrated and standardized optimization modules for the optimization process itself. The research followed a design research guideline that seek to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts. The Chapter 2 firstly reviewed the current research on Lean Six Sigma, Agile, AOP and ITIL, aiming at identifying the broad conceptual bases for this study. In Chapter 3, we included the process of constructing the Bing Box model. The Chapter 4 described the adoption of Bing Box model: two-implementation case validated by stakeholders through observations and interviews. Chapter 5 contained the concluding remarks, the limitation of this research work and the future research areas. Chapter 6 provided the references used in this thesis.Master's thesissiirretty Doriast

The hidden pitfalls of Kanban in software development

ABSTRACT: Objectives of the Study: The objective of this thesis is to explore the hidden pitfalls of Kanban in software development. The aim is to discover the reasons behind the pitfalls and actions that nourish Kanban's failure. Academic background and methodology: Software development industry has been shifting towards more iterative, responsive and people-oriented development methods, which present the values of lean and agile thinking. Being characterized as the antidote for bureaucracy, the shift towards agile development methodologies has been one of the most significant factors affecting the software industry. Kanban as an agile change management framework has been perceived as the fairy godmother of software development making the reasons behind struggling Kanban projects particularly interesting. Thesis interviews five agile experts in the software development and studies their experiences of unsuccessful Kanban implementations. Emphasis is given to similar experiences and perceptions on how Kanban fails to redeem its value proposition. Findings: The primary finding of the study is that an organization that is unable to change its mindset to support Kanban is a pitfall affecting the whole project, inevitably causing Kanban to fail. This is a challenge that all agile methods have in common. Agile can flourish only when agile values are being appreciated. The secondary finding is that many software teams claiming to be using Kanban have implemented only a shallow imitation of the real method thus creating a superficial implementation, which prevents achieving Kanban induced benefits. Thus, creating a superficial implementation, which prevents achieving Kanban induced benefits. Furthermore, the erroneous human interpretation of what Kanban really is and how to apply it correctly is a key factor contributing to the emerge of the pitfalls. Keywords: Kanban, software development, pitfall, agile, change management, framewor

Reduce Unplanned Shutdown on Surface Facilities of Oil and Gas Plant Process

The purpose of this study is to assess the impact of equipment condition monitoring and asset management based on historical data management on reducing unplanned shutdowns and improving plant reliability to meet company expectations and maintain the safety of upstream oil and gas business installations. The scope of research is limited to the application of condition monitoring analysis methods, big data management and the concept of operation on turbomachinery in surface facilities in maintenance activities in upstream oil and gas business. The research approach is carried out quantitatively and qualitatively. The quantitative approach uses references to experience in employment in the field of maintenance of surface facilities, the use of turbomachinery equipment operating data including organizational and human capital influence in upstream oil and gas industries. The utilization of library reviews on Statistical Quality Control is used to facilitate the realization of the purpose of this research. Condition monitoring is an innovation in the field of equipment maintenance and is the basis for the formation of predictive maintenance methods. The study is to ensure that big data analysis is the main capital to reduce unplanned plant shutdown in the oil and gas industry.Keywords: Oil and Gas shortfall, Surface Facilities, Preventive Maintenance, Predictive Maintenance, CMIMS (Computerized Maintenance Inspection Management System), Unplanned shutdown, Turbo-compressor, Obsolescence, spare parts, Availability, Reliability, Artificial Intelligent, Statistical Quality Control, Six Sigma, innovation and design thinking, Knowledge Managemen

Enhancing SWOT Analysis with TRIZ-based Tools to Integrate Systematic Innovation in Early Task Design

AbstractSWOT analysis is the classical tool for framing the key elements towards problem design/development in various fields of activity and at various levels of interest (e.g. leadership, strategy, production process, marketing, product development, distribution, business model, operational management, etc.). Revealing the major strengths, weaknesses, threads and opportunities does not necessarily lead to an effective project formulation. Key pieces of information are usually missing in the classical SWOT analysis, like the relevance of each strength, weakness, thread and opportunity in meeting the intended vision and targets, as well as compatibility of the elements. A structured framework for setting up a comprehensive SWOT analysis is introduced in this paper. TRIZ-based tools are part of this framework for defining reliable solutions to various barriers and conflicting problems emerging from SWOT elements. This framework brings innovation in the early phase of the planning process of the envisaged system, thus minimizing the risk to define low effective areas of intervention. A case study on process improvement demonstrates the relevance of the proposed approach

Understanding requirements dependency in requirements prioritization: a systematic literature review

Requirement prioritization (RP) is a crucial task in managing requirements as it determines the order of implementation and, thus, the delivery of a software system. Improper RP may cause software project failures due to over budget and schedule as well as a low-quality product. Several factors influence RP. One of which is requirements dependency. Handling inappropriate handling of requirements dependencies can lead to software development failures. If a requirement that serves as a prerequisite for other requirements is given low priority, it affects the overall project completion time. Despite its importance, little is known about requirements dependency in RP, particularly its impacts, types, and techniques. This study, therefore, aims to understand the phenomenon by analyzing the existing literature. It addresses three objectives, namely, to investigate the impacts of requirements dependency on RP, to identify different types of requirements dependency, and to discover the techniques used for requirements dependency problems in RP. To fulfill the objectives, this study adopts the Systematic Literature Review (SLR) method. Applying the SLR protocol, this study selected forty primary articles, which comprise 58% journal papers, 32% conference proceedings, and 10% book sections. The results of data synthesis indicate that requirements dependency has significant impacts on RP, and there are a number of requirements dependency types as well as techniques for addressing requirements dependency problems in RP. This research discovered various techniques employed, including the use of Graphs for RD visualization, Machine Learning for handling large-scale RP, decision making for multi-criteria handling, and optimization techniques utilizing evolutionary algorithms. The study also reveals that the existing techniques have encountered serious limitations in terms of scalability, time consumption, interdependencies of requirements, and limited types of requirement dependencies

Misaligned Values in Software Engineering Organizations

The values of software organizations are crucial for achieving high performance; in particular, agile development approaches emphasize their importance. Researchers have thus far often assumed that a specific set of values, compatible with the development methodologies, must be adopted homogeneously throughout the company. It is not clear, however, to what extent such assumptions are accurate. Preliminary findings have highlighted the misalignment of values between groups as a source of problems when engineers discuss their challenges. Therefore, in this study, we examine how discrepancies in values between groups affect software companies' performance. To meet our objectives, we chose a mixed method research design. First, we collected qualitative data by interviewing fourteen (\textit{N} = 14) employees working in four different organizations and processed it using thematic analysis. We then surveyed seven organizations (\textit{N} = 184). Our analysis indicated that value misalignment between groups is related to organizational performance. The aligned companies were more effective, more satisfied, had higher trust, and fewer conflicts. Our efforts provide encouraging findings in a critical software engineering research area. They can help to explain why some companies are more efficient than others and, thus, point the way to interventions to address organizational challenges.Comment: accepted for publication in Journal of Software: Evolution and Proces

Quality measures for ETL processes: from goals to implementation

Extraction transformation loading (ETL) processes play an increasingly important role for the support of modern business operations. These business processes are centred around artifacts with high variability and diverse lifecycles, which correspond to key business entities. The apparent complexity of these activities has been examined through the prism of business process management, mainly focusing on functional requirements and performance optimization. However, the quality dimension has not yet been thoroughly investigated, and there is a need for a more human-centric approach to bring them closer to business-users requirements. In this paper, we take a first step towards this direction by defining a sound model for ETL process quality characteristics and quantitative measures for each characteristic, based on existing literature. Our model shows dependencies among quality characteristics and can provide the basis for subsequent analysis using goal modeling techniques. We showcase the use of goal modeling for ETL process design through a use case, where we employ the use of a goal model that includes quantitative components (i.e., indicators) for evaluation and analysis of alternative design decisions.Peer ReviewedPostprint (author's final draft