scholarly journals Business Process Improvement of Production Systems Using Coloured Petri Nets

2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Production Systems ◽  
Coloured Petri Nets ◽  
Manufacturing Companies ◽  
Fundamental Factor ◽  
Bottleneck Analysis

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

Leveraging big-data for business process analytics

2015 ◽  
Vol 22 (4) ◽  
pp. 215-228 ◽  
Author(s):  
Alejandro Vera-Baquero ◽  
Ricardo Colomo Palacios ◽  
Vladimir Stantchev ◽  
Owen Molloy
Keyword(s):  
Big Data ◽  
Process Improvement ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Heterogeneous Systems ◽  
Map Reduce ◽  
Heterogeneous Environments ◽  
Business Process Improvement ◽  
Content Type

Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today ' s business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big-Data-based approaches that aim to gain visibility into process performance. Design/methodology/approach – Authors present a cloud-based solution that leverages (BD) technology to provide essential insights into business process improvement. The proposed solution is aimed at measuring and improving overall business performance, especially in very large and complex cross-organisational business processes, where this type of visibility is hard to achieve across heterogeneous systems. Findings – Three different (BD) approaches have been undertaken based on Hadoop and HBase. We introduced first, a map-reduce approach that it is suitable for batch processing and presents a very high scalability. Secondly, we have described an alternative solution by integrating the proposed system with Impala. This approach has significant improvements in respect with map reduce as it is focused on performing real-time queries over HBase. Finally, the use of secondary indexes has been also proposed with the aim of enabling immediate access to event instances for correlation in detriment of high duplication storage and synchronization issues. This approach has produced remarkable results in two real functional environments presented in the paper. Originality/value – The value of the contribution relies on the comparison and integration of software packages towards an integrated solution that is aimed to be adopted by industry. Apart from that, in this paper, authors illustrate the deployment of the architecture in two different settings.

Ontology-Based Framework for Quality in Configurable Process Models

2020 ◽  
pp. 464-478
Author(s):  
Loubna El Faquih ◽  
Mounia Fredj
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Business Processes ◽  
Research Work ◽  
Process Models ◽  
Novel Method ◽  
Ontology Languages ◽  
Variability Management

In recent years, business process modeling has increasingly drawn the attention of enterprises. As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse. The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model. Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted. Most of research work is limited to the syntactic quality of process variants. The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages. We define validation rules for assessing the quality of configurable process models. An example in the e-healthcare domain illustrates the main steps of our approach.

Assigning Ontological Meaning to Workflow Nets

2012 ◽  
pp. 209-244
Author(s):  
Pnina Soffer ◽  
Maya Kaner ◽  
Yair Wand
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Processes ◽  
Process Models ◽  
Actual Process ◽  
Workflow Nets ◽  
Business Process Models ◽  
Business Goals ◽  
General Constraints ◽  
Process Behavior

A common way to represent organizational domains is the use of business process models. A Workflow-net (WF-net) is an application of Petri Nets (with additional rules) that model business process behavior. However, the use of WF-nets to model business processes has some shortcomings. In particular, no rules exist beyond the general constraints of WF-nets to guide the mapping of an actual process into a net. Syntactically correct WF-nets may provide meaningful models of how organizations conduct their business processes. Moreover, the processes represented by these nets may not be feasible to execute or reach their business goals when executed. In this paper, the authors propose a set of rules for mapping the domain in which a process operates into a WF-net, which they derived by attaching ontological semantics to WF-nets. The rules guide the construction of WF-nets, which are meaningful in that their nodes and transitions are directly related to the modeled (business) domains. Furthermore, the proposed semantics imposes on the process models constraints that guide the development of valid process models, namely, models that assure that the process can accomplish its goal when executed.

Business Process Reuse and Standardization with P2P Technologies

2010 ◽  
pp. 516-529 ◽  
Author(s):  
José A. Rodrigues Nt ◽  
Jano Moreira de Souza ◽  
Geraldo Zimbrão ◽  
Geraldo Xexéo ◽  
Mutaleci Miranda
Keyword(s):  
Information Technology ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Human Factor ◽  
Peer To Peer ◽  
Integrated System ◽  
Process Models ◽  
Cultural Changes

Business Process Management (BPM) brings together the idea of effectively managing organizations and properly using Information Technology to fulfill organizations’ needs. For this purpose, BPM systems are largely used nowadays. However, most process models are started from scratch, not having reuse promoted. Sometimes, large enterprises have the same business process implemented in a variety of ways due to differences in their departmental cultures or environments, even when using a unique integrated system. Additionally, although technology plays an important role in actually improving organizations, the human factor is still fundamental, since any improvement attempt goes through cultural changes. In this chapter, a peer-to-peer (P2P) tool is proposed as a way to cooperatively develop business processes models, minimizing the time needed to develop such models, reducing the differences among similar processes conducted in distinct organizational units, enhancing the quality of models, promoting reuse, and distributing knowledge.

Social Software for Business Process Modeling

2010 ◽  
Vol 25 (3) ◽  
pp. 308-322
Author(s):  
Agnes Koschmider ◽  
Minseok Song ◽  
Hajo A Reijers
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Business Processes ◽  
Social Software ◽  
Modeling Process ◽  
Single Person ◽  
Formal Business

Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborative fashion, the building of the final, formal process model is done mostly by a single person. This article presents the design and Implementation of a Recommendation-Based Process Modeling Support System with ‘social features.’ A process builder using this system will receive recommendations to complete or edit a formal business process model on the basis of previous usage of modeling fragments by her peers. Such features potentially Improve the modeling process and, as such, the modeling outcome, that is, the quality of the process model. This article also contains an evaluation of the system's usage and effectiveness, which builds on an experimental design. It is shown that process builders are inclined to follow up on the provided recommendations and that this will improve the semantical quality of the created model. However, Information on peer usage of modeling fragments does not play a big role in selecting the recommendations being followed up. This article fits within a stream of research that puts emphasis on the modeling process, rather than on the model artifact.

Is there any Significant Effect of Business Process Re-Engineering Strategy on Service Delivery in the Contextualization of Food Manufacturing Companies in Kenya?

2020 ◽  
Vol 8 (9) ◽  
pp. 189-203
Author(s):  
Richard Nyaanga Ongeri ◽  
Peterson Obara Magutu ◽  
Kate Litondo
Keyword(s):  
Service Delivery ◽  
Business Process ◽  
Significant Relationship ◽  
Business Processes ◽  
Empirical Relationship ◽  
Good Representation ◽  
Manufacturing Companies ◽  
Food Manufacturing ◽  
Engineering Strategy ◽  
Functional Teams

The main objective of the study was to determine if there any significant effect of business process re-engineering strategy on service delivery in the contextualization of food manufacturing companies in Kenya. Accordingly, the study sought to determine the effect of business process re-engineering strategy on service delivery of companies manufacturing food in Kenya. The population of the study comprised of the company’s manufacturing food in Kenya. A descriptive cross-sectional survey design was adopted in data collection and analysis. Primary data was collected from respondents using a structured questionnaire, while secondary data was collected from published firm’s reports. Out of the 75 respondents targeted by the study, 44 respondents forming 56.67% response rate, which was considered adequate for analysis with good representation from all the subsectors. On hypotheses testing, it was established that, 58.1% of variations in the service delivery are explained by variations in the BPR strategy namely resources mobilization for BPR, sponsorship and commitment, BPR cross-functional teams, analytical processes selection, BPR prototypes, management of re-engineered processes, clear BPR definition and vision. Thus, there is a significant relationship between BPR strategy and service delivery of companies manufacturing food in Kenya. HA1 is therefore supported. In conclusion, the study confirmed that there is a positive and statistically significant relationship between BPR strategy and service delivery of companies manufacturing food in Kenya, where 58.1% of variations in the service delivery is explained by variations in the BPR strategy namely resources mobilization for BPR, sponsorship and commitment, BPR cross functional teams, analytical processes selection, BPR prototypes, management of re-engineered processes, clear BPR definition and vision. The results therefore support the anchoring theory of resource advantage theory. This study has contributed in different areas including implications to theory, policy, management practice and methodological contributions as discussed in the subsequent paragraphs. First, this study has advanced frontiers of knowledge from the study findings;  this study confirms that today’s competitive environment compels organizations to re-engineer their business processes to effect perfect service delivering for customer satisfaction which eventually leads to improved overall FP (Hussein, Bazzi, Dayekh & Hassan, 2013; Jurisch, Ikas, Wolfgang, Wolf & Kurcmar, 2012). The research findings have addressed the key gaps in this study. Secondly, this study has contributed to theory: the empirical relationship between BPR strategy and service is significant where BPR strategy constructs independently and positively influences improvements in service delivery with four significant predictors: resources mobilization for BPR; BPR cross-functional teams; sponsorship and commitment of top management; and the management of re-engineered processes. This study confirms and supports the use of resource based view theory. Thirdly on the study’s policy contributions: the study will guide policy makers to develop BPR strategies that will lead to improved service with the understanding that improved business processes facilitates organizations to maximize the value addition which eventually leads to improved service delivery. Lastly on the methodological contributions: key methodological contribution is the use of a quantitative composite index in computing the SD index, the use an integrated empirical model to test the relation between BPR strategies and service delivery; the study used a number of indicators to measure each construct, which improved the construct validity.

Productivity Increase through Industrialization of Overhead in Cyber-Physical Production Systems

2013 ◽  
Vol 769 ◽  
pp. 359-366
Author(s):  
Till Potente ◽  
Thomas Jasinski ◽  
Bartholomaeus Wolff
Keyword(s):  
Business Processes ◽  
Industrial Revolution ◽  
Production Systems ◽  
Labour Productivity ◽  
Smart Devices ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Core Element ◽  
Cyber Physical Production Systems ◽  
Management Staff

The importance of knowledge workers and management staff in manufacturing companies is increasing due to a rising complexity within indirect business processes. As a result, current overhead costs account for most of the overall manufacturing costs. Despite this fact manufacturing companies disregard the productivity potentials of their indirect areas and focus predominantly on the optimisation of shop-floor processes.Cyber-physical systems constitute a technological paradigm of the current forth industrial revolution and promise a further push of labour productivity in the upcoming decades. We expand the vision of cyber-physical production systems on business processes and develop a mathematical approach to predict and analyse productivity potentials of management staff in the context of emerging cyber-physical production systems. The core element of the presented model states the collaborative productivity between people, people and smart devices and between these smart devices themselves.

High-Quality Business Processes Based on Multi-Dimensional QoS

2012 ◽  
pp. 152-171 ◽  
Author(s):  
Qianhui Liang ◽  
Michael Parkin
Keyword(s):  
Quality Of Service ◽  
Business Process ◽  
Business Processes ◽  
Heuristic Algorithms ◽  
Optimal Choice ◽  
Optimal Configuration ◽  
Functional Requirements ◽  
Services Research ◽  
High Quality

An important area of services research gathering momentum is the ability to take a generic business process and instantiate it by selecting services that meet both the functional and non-functional requirements of the process owner. These non-functional or quality-of-service (QoS) requirements may describe essential performance and dependability requirements and apply across different logical layers of the application, from business-related details to system infrastructure; i.e., they are cross-cutting and considered multidimensional. Configuring an abstract business process with the “best” services to meet the process owner’s multidimensional end-to-end QoS requirements is a challenging task as there may be many services that match to the functional requirements but provide differentiated QoS characteristics. In this chapter we explore an approach to discover services, differentiated by their QoS attributes, to configure an abstract business process by selecting an optimal configuration of the “best” QoS combinations. The approach considered takes into account the optimal choice of multi-dimensional QoS variables. We present and compare two solutions based on heuristic algorithms to illustrate how this approach would work practically.

Validating Component-Based Implementations of Business Processes

2011 ◽  
pp. 124-151
Author(s):  
Jens Lemcke ◽  
Andreas Friesen ◽  
Tirdad Rahmani
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Processes ◽  
Process Models ◽  
Action Refinement ◽  
Deadlock Analysis ◽  
Multiple Process ◽  
Component Based Software Engineering ◽  
Exponential Complexity ◽  
Different Levels

This chapter provides a formal specification of non-atomic, relaxed action refinement suited for component-based business process engineering. Engineering a business process involves multiple process models created by different people on different levels of abstractions. Keeping the models consistent during the engineering procedure—refinement validation—is one objective of this chapter. In component-based software engineering, the lowest abstraction of a business process is mapped on existing components that have a description of their behaviors. Checking the consistency of process and component behavior—grounding validation—is the second objective. Both refinement and grounding validation increase the robustness of business process implementations and the productivity of process engineers. Technically, the specification given in this chapter is in terms of deadlock analysis in safe Petri nets. The evaluation of this straight-forward implementation underlines the exponential complexity of deadlock analysis in safe Petri nets. For use cases with more than 30 activities per process or heavy parallelism, optimized implementations are needed.

Business Process Reuse and Standardization with P2P Technologies

2010 ◽  
pp. 518-531
Author(s):  
José A. Rodrigues Nt ◽  
Jano Moreira de Souza ◽  
Geraldo Zimbrão ◽  
Geraldo Xexéo ◽  
Mutaleci Miranda
Keyword(s):  
Information Technology ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Human Factor ◽  
Peer To Peer ◽  
Integrated System ◽  
Process Models ◽  
Cultural Changes

Business Process Management (BPM) brings together the idea of effectively managing organizations and properly using Information Technology to fulfill organizations’ needs. For this purpose, BPM systems are largely used nowadays. However, most process models are started from scratch, not having reuse promoted. Sometimes, large enterprises have the same business process implemented in a variety of ways due to differences in their departmental cultures or environments, even when using a unique integrated system. Additionally, although technology plays an important role in actually improving organizations, the human factor is still fundamental, since any improvement attempt goes through cultural changes. In this chapter, a peer-to-peer (P2P) tool is proposed as a way to cooperatively develop business processes models, minimizing the time needed to develop such models, reducing the differences among similar processes conducted in distinct organizational units, enhancing the quality of models, promoting reuse, and distributing knowledge.

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