International Journal of Agile Systems and Management (10 papers in press)
Forecasting of traffic flows at ferry terminals. A hybrid model
by Iñigo L. Ansorena
Abstract: This paper presents an agile approach for managing ferry terminals. We propose a double-stage model that forecasts traffic. The hybrid model is based on quantitative tools. First we search for associations in data and then we develop a time series analysis. The specific objectives of the study are firstly to survey and collect data at a disaggregated level in terms of passenger and vehicle flows, and time periods; and secondly to develop forecasts on short term using a combination of the proposed techniques. We think that the simultaneous application of historical analogy and time series forecasting is a powerful tool to predict the future traffic. Additionally, the methodological procedure proposed in this paper is general enough to be applied to other traffics and ports.
Keywords: forecast; time series; association discovery; ferry terminal; port management.
Effect of Enterprise Social Media and Psychological Safety on Employees Agility: Mediating Role of Communication Quality
by Abdul Hameed Pitafi, Shamsa Kanwal
Abstract: Enterprise social media (ESM) is an open and public platform that facilitates employee discussions on work-related issues. However, researchers and practitioners are vague about the advantages of ESM usage in the workplace to handle the work related uncertainties. This study investigated whether and how ESM usage, psychological safety can be positively associated with employees agility. Employees agility is the ability of the employee to react and adopt environmental changes more promptly and appropriately. Based on information processing theory, this study examines employee agility by considering the mediating effect of communication quality. Data was collected from 167 employees who adopted ESM in the workplace, the existing study supports our proposed hypotheses and mediating effect. The findings confirm the significant role of ESM usage and psychological safety in improving employee agility through communication quality. This research study contributes to the existing ESM literature by investigating communication quality and its role in developing employees agility in the context of ESM and suggesting managerial implications of ESM usage in improving the employees agility.
Keywords: Enterprise Social Media; Employee’s Agility; Psychological Safety.
Effect of machining parameters over surface roughness in contour milling of Aluminium 2024-T351 using 5-axis Parallel kinematic Machine
by Suryam LV
Abstract: Surface roughness is reduced by optimizing the machining parameters. This research analyzes the effect of machining parameters on surface quality of Aluminum 2024 T351 in milling of semi-circular pocket with carbide tool on 5-axis Hybrid Parallel Kinematic Machine (HPKM). Three different segmented surfaces were selected on semi-circular pocket and investigated the influence of machining parameters. The selected parameters are spindle speed, feed rate and depth of cut. Investigation of this study results in the optimum parameters that could produce good surface finish. The effect of these cutting parameters is evaluated using L9 Taguchi orthogonal array, s/n ratio, analysis of variance (ANOVA). Based on the result analysis, good surface finish can be obtained at high cutting speed, low feed rate, and low depth of cut. Also, the maximum influence of feed rate among the selected surface segments was ascertained.
Keywords: 5-axis PKM; Contour milling; Surface roughness; Taguchi method; s/n ratio;.
A multipath methodology to promote ergonomics, safety and efficiency in agile factories
by Silvia Ceccacci, Marco Matteucci, Margherita Peruzzini, Maura Mengoni
Abstract: An important area of risk management practice for manufacturing companies relates to the prevention of injuries and musculoskeletal disorders (MSDs). The greater benefits can be achieved where a preventive approach is used, based on ergonomic design of workplaces and attention to human requirements and limitations as well as human-machine interaction principles. The research aims at providing a pragmatic approach to support the application of ergonomic risk management in practice. It defines a multipath methodology to investigate human factors impacting on safety by considering the specific workspace, the adopted tools, the overall production environment and the workers activity. An industrial case study is described to illustrate the methodology and demonstrate the benefits for companies. Results suggest that the proposed multipath methodology allow to effectively assist analysts in the definitin of crucial risk factors and selection of proper ergonomics assessment and measurement tools accordign to the specific context of application.
Keywords: Ergonomics; Human-Centered Design; Risk Management; Design methods; Digital Manufacturing.
A comparative analysis of factor analysis Model for Pinpointing Agile Developers
by Alok Khatri, Dixit Garg, G.S. Dangayach
Abstract: Agile manufacturing is an emerging approach of engineering to deal with dynamic demand of customer and market. The Prime factors that influence agility are agile developers and enablers. Agile developers are mainly less investment factors that are basically governed by managerial power. To find out most important agile developers, a survey based study was conducted with the aim to develop model for agility developers and measure its level in Indian manufacturing industries. It was hypotheses that sensitiveness to change, relationship with customer, relationship with supplier, flexibility and competency and responsiveness is not significant with agile manufacturing. The data were analyzed by ANNOVA test, different factor analysis techniques and a complete regression model for agile developer was prepared with the help of Analytic hierarchy process. It was found that design excellence and decision flexibility variables have highest importance among all components and developers are being used almost at their 50% level.
Keywords: Agile manufacturing; agility developer; principal component analysis; linear regression model; Artificial neural network (ANN); Analytic hierarchy process (AHP).
Modelling the Factors of Agility of Humanitarian Operations
by Suresh M, Ganesh S, Raghu Raman
Abstract: The commercial concept of agility, when responding to humanitarian operations, has strong potential for increasing efficiency and effectiveness. The aim of this paper is to explore the concept of agility in the context of humanitarian operations, particularly cart festivals in India. This responds to the increasing pressure on festival organizers and public administrative officials to manage the festival and to control the crowd and other supporting facilities in a particular time window. Agility plays a major role in accommodating the unpredicted changes in cart festivals. Attempts are made to identify the factors which influence the agility of humanitarian operations. In this study, Interpretive Structural Modelling (ISM) approach is applied to find the interrelationships among the factors. Finally, it is found that the most influential factors are multi-skilled and flexible people, Informal learning and development, completeness and change of culture.
Keywords: Humanitarian Operations; Agility; Change Management; Event Flexibility; Interpretive Structural Modelling.
Impact of Requirements Volatility and Flexible Management on GSD Project Success: A Study Based on the Dimensions of Requirements Volatility
by Mohammad Shameem, Bibhas Chandra, Chiranjeev Kumar, Arif Khan
Abstract: Global software development (GSD) is a modern paradigm in which the software development activities are performed across the geographical boundaries. The development teams in a GSD environment operates under the three distributed dimensions namely, geographical, cultural and temporal distances. The distributed dimensions presents substantial coordination and communication challenges among the team members which are becoming more challenging and gaining much attention for the phenomenon of requirement volatility. Therefore, we have developed a GSD risk based model using project performance risk as a mediating variable for analyzing the effect of requirement volatility to the success of a GSD project. The model has explored the moderating effect of flexible management approach for managing requirements uncertainty, which may increases the success of a GSD project as a results of effectively managing requirements uncertainty. To validate the research model, a survey study was conducted from the 103 GSD experts. Structural Equation Modelling (SEM) procedure was utilized for testing the hypotheses. The findings of the study were highlighted that requirements volatility increases the project performance risks, which as a result has negative impact on a GSD project success. Additionally, the flexible management approach may increase the negative effect of requirements volatility as a result of reducing project performance risks. Based on the findings of this study, we can conclude that requirements volatility increases the risks in a GSD project which can be managed by the flexible management approach.
Keywords: Global software development; Requirements volatility; Structural equation modeling; Flexible management.
A Framework to Improve Lean Implementation by review leveraging aspects of Organizational Culture: The Case of Saudi Arabia
by ABDULLAH ALKHORAIF, Patrick McLaughlin, Hamad Rashid
Abstract: Implementing Lean into manufacturing small and medium enterprises faces difficulties, whereas it is more likely to be implemented successfully in larger companies, which then gain the advantages of Lean systems (Karim et al., 2011). In addition, Organizational culture is one of the most important factors to focus on to facilitate the implementation of Lean within Saudi Arabian manufacturing (Karim and Arif‐Uz‐Zaman, 2013). Thus, more research that focuses on Lean implementation in SMEs are needed. This article focuses on contributing to develop a framework to improve Lean Implementation into small and medium enterprise manufacturing organisations in Saudi Arabia by leveraging aspects of Organizational Culture. Qualitative research is confirmed to be useful for uncovering such insider views, (Corbin and Strauss, 1990).The research will be based on qualitative and grounded theory inside action research with and an inductive approach. Action research tends to be used for prompting conscious change within a somewhat controlled environment, (Collis and Hussey, 2013). The data collection generally employed to study culture consist of; semi structured interviews, observation and focus groups. A framework by identifying suitable interventions to facilitate lean culture. a series of interventions developed with participants. these interventions permitted a framework for SMEs to be developed. A plan of linked interventions designed to develop aspects of lean culture forms the output of phase three. The planned interventions for SMEs are should take place together as a series of interlinked interventions. The interventions come from two sources literature review and data gathering. The contributions of this study are threefold: First, there has been no previous framework of Lean implementation in SMEs manufacturing sector. In addition, It also contributes to knowledge about the failure of lean implementation. Concerning aspects of organizational culture that facilitate lean implementation. This knowledge is transdisciplinary and adds to the domains of lean implementation, organizational culture and lean culture. Finally, it supports the academic society with scheme for proposal future research
Keywords: Lean manufacturing; Lean implementation (LI); Grounded theory; Organizational culture (OC); Small and Medium Enterprises (SMEs); King of Saudi Arabia (KSA).
Industry 4.0 in New Zealand Dairy Industry
by Ray Y. Zhong, Fariz Aziz, Shaqir Samsudin, Neeraj Nambiar, Uthman Aziz, Eric Li
Abstract: New Zealand may be have the largest dairy industries in the world due to natural resources suitable for cows. It is facing new opportunities because a new generation of industry termed as Industry 4.0 is coming. Facing the new technologies, how traditional dairy industry in New Zealand could seize the golden opportunities in the context of Industry 4.0 to upgrade and transform? This paper analyses the current status of New Zealand dairy industry and gives some investigation results. Some significant insights and lessons from this study could be used for guiding dairy industry which is contemplating the implementation of Industry 4.0 enabled solutions.
Keywords: Industry 4.0; New Zealand; Dairy Industry; Technology Management.
The allocation of improvement programs in a flow shop for single and multi-products: a simulation assessment
by Paolo Renna, Michele Ambrico
Abstract: The continuous improvement is crucial to increase the companys competitiveness in today's market. This paper proposes a multi-dimension simulation environment to test improvement programs in a flow shop context. The simulator developed tests the programs proposed in the literature: centralized, distributed and hybrid. The main original contributions of this research are: a simulation environment with higher details; the analysis of several performance measures as the throughput, lead time, work in process, average utilization and the defected products for each workstation of the production line; the case of flow shop with multi-products. The experimental plan concerns the change of the following issues: set-up times, bottleneck position and process times. The flow shop without improvement programs is the benchmark of the performance measures. The simulation results show how the centralized policy is the better in a single product case, while the hybrid policy leads to the better results in case of multi-products.
Keywords: flow shop; allocation of improvement programs; performance measures; multi-products; discrete event simulation;.