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Six Sigma for Sustainability
Published in Adedeji B. Badiru, Tina Agustiady, Sustainability, 2021
Adedeji B. Badiru, Tina Agustiady
Six Sigma is best defined as a business process improvement approach that seeks to find and eliminate causes of defects and errors, reduce cycle times, reduce costs of operations, improve productivity, meet customer expectations, achieve higher asset utilization, and improve return on investment. Six Sigma deals with producing data-driven results through management support of the initiatives (Agustiady and Badiru 2013). Six Sigma pertains to sustainability because without the actual data, decisions would be made on trial and error. Sustainable environments require having actual data to back up decisions so that methods are used to have improvements for future generations. The basic methodology of Six Sigma includes a five-step method approach that consists of the following.
ERP Systems
Published in Erick C. Jones, Supply Chain Engineering and Logistics Handbook, 2020
Erick C. Jones, Gowthaman Anantakrishnan
Various business functions are comprised in these functional areas of operation. Recently, organizations have started to think in terms of business processes rather than business functions. A business process is a collection of input activities to create an output desired by the customer. Examples of business processes are shown in Table 6.2.
Simulation Optimization Approach for Cost Reduction in Multi-echelon Inventory Systems Considering Cooperation among Retailers
Published in Mangey Ram, S. B. Singh, Mathematics Applied to Engineering and Management, 2020
Taha-Hossein Hejazi, Afrooz Farhadi, Bahareh Hekmatnia
The purpose of SCM is to meet customer’s demand to guarantee the delivery of products of high-quality levels with low price and minimal delay. To achieve this goal, companies need to have a complete insight into the whole SC for their plans as well as plans of suppliers and customers. Today, companies must be agile to be able to implement and repair applications in real time and encounter unexpected events in the SC. These requirements require the use of separate events to analyze the whole SC. In addition, efficient SCM results from detailed precision of the material and information of capacity, which are available. Nowadays, companies are seeking to reduce inefficiencies in their business processes and redesigning business processes to achieve world-class business efficiencies.
Assessing performance of mined business process variants
Published in Enterprise Information Systems, 2021
Lucas Van Den Ingh, Rik Eshuis, Sarah Gelper
To improve the performance of a process, organisations should determine which variants have the best performance and should be selected to be used as future standard. Process mining algorithms do not answer this question. The most commonly used tool for performance assessment in the process mining literature is conformance checking (Rozinat and van der Aalst 2008; van der Aalst 2016). Conformance checking compares the logged behaviour of a process with a known benchmark process. For the performance valuation of business processes, however, conformance checking has two main drawbacks. First, the performance of business processes is typically assessed on multiple dimensions such as cost, time or quality of the process. Conformance checking does not allow for such a multi-dimensional evaluation of process performance. Second, the benchmark process is not necessarily the best performing process, even though it has been designed as standard process within the organisation. Selecting the best performing process is not possible using conformance checking. Therefore, we propose a performance assessment technique for mined business processes that accounts for the multi-dimensional nature of business process evaluation and does not assume the best performing process is known upfront.
A systematic mapping study of process mining
Published in Enterprise Information Systems, 2018
Ana Rocío Cárdenas Maita, Lucas Corrêa Martins, Carlos Ramón López Paz, Laura Rafferty, Patrick C. K. Hung, Sarajane Marques Peres, Marcelo Fantinato
A business process is a set of interrelated tasks that should be carried out so that a certain business goal is reached (Weske 2012; Lindsay, Downs, and Lunn 2003). The BPM life-cycle involves different stages, including: (i) business process modeling and design; (ii) business process model instantiation; (iii) business process enactment and administration; (iv) business process monitoring and auditing; and (v) business process analysis and optimization (van der Aalst, ter Hofstede, and Weske 2003; Weske, van der Aalst, and Verbeek 2004). During analysis and optimization, the execution and monitoring logs can be analyzed in order to find improvement points in the business processes, which brings to the restart of the life-cycle for a new modeling stage (Weske 2012).Since the market is currently dynamic, each cycle turn should be completed fast to provide organizations with new process versions which meet the present demands towards its stakeholders (Fantinato et al. 2012).
Waste reduction of polypropylene bag manufacturing process using Six Sigma DMAIC approach: A case study
Published in Cogent Engineering, 2021
Muhammad Hamad Sajjad, Khawar Naeem, Muhammad Zubair, Qazi Muhammad Usman Jan, Sikandar Bilal Khattak, Muhammad Omair, Rashid Nawaz
Six Sigma is a method that provides organizations tools to improve the capability of their business processes. This increase in performance and decrease in process variation helps lead to defect reduction and improvement in profits, employee morale, and quality of products or services. In this research, the DMAIC approach of six sigma is adopted which results in 50% waste reduction and a considerable cost saving. The objective of the study includes finding the significant factors contributing to the process variation. Also controlling those factors to the optimal levels to achieve minimum wastage and considerable cost saving. The methodology and findings of the present study can be generalized to the polypropylene bag manufacturing plants and the process efficiency can be enhanced.