Pull Production Systems

2021 ◽  
pp. 80-112
Author(s):  
Eduardo Guilherme Satolo ◽  
Milena Estanislau Diniz Mansur dos Reis ◽  
Robisom Damasceno Calado
Keyword(s):  
Decision Making ◽  
Hybrid Systems ◽  
Production System ◽  
Lean Manufacturing ◽  
Production Systems ◽  
Pull Production ◽  
Decision Making Processes ◽  
Pull Systems ◽  
Aid Decision ◽  
Pull Production System

This chapter aims to organize knowledge about pull production systems by presenting the underlying concepts of lean manufacturing as for its origin, principles, and relations with PPC. Pull production is one the fundamental principles of lean manufacturing, and its implementation can bring positive impacts. For such a purpose, sequential and mixed supermarket pull systems stand out in which the integration between pull production systems and PPC and its various levels is a main subject of discussion. The JIT model or Kanban method and hybrid systems, such as conwip and lung-drum-string theory, are mechanisms for managing pull production systems. Finally, a pull production system implementation is presented for illustration purposes. At the end of this chapter, it is expected that skills are developed by readers, which are going to assist them in using the tools presented to model production systems and aid decision-making processes.

Application of Pull Concept-based Lean Production System in the Ship Building Industry

2013 ◽  
Vol 29 (03) ◽  
pp. 105-116
Author(s):  
Khairul Hassan ◽  
Hiroyuki Kajiwara
Keyword(s):  
Production System ◽  
Lean Manufacturing ◽  
Simulation Analysis ◽  
Lean Production ◽  
Just In Time ◽  
Optimization Analysis ◽  
Basic Principles ◽  
Pull Production ◽  
Scheduling Method ◽  
Pull Production System

Shipbuilding is a convoluted process. The production system of a shipyard can be illustrated by using the concept of a pull production system. Lean is based on the principle of a pull production system. The shipbuilding process is improved significantly but the lean production system is introduced at very small scales. In a shipyard, different types of wastages such as scraps, overproductions, idle times, etc. are produced, lean is a just-in-time production system that can focus on the elimination of these wastages to ensure lower costs and lower production times and higher quality products as well as better service and delivery. Simulation modeling is used to evaluate the performance of the production system and kanban is a pull-type scheduling method that can be used to simulate the pull production system of a shipyard for the optimization analysis. The goals of this article are to identify the important wastages in a shipyard that can increase production time and cost, to design the production system of a shipyard based on lean philosophy, to derive the basic principles of the lean manufacturing as well as to develop the control mechanism of this production system, the simulation analysis of the production system done by using the lean principle, and to identify the limitations for applying the lean production system in a shipyard production.

System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jagan Mohan Reddy K. ◽  
Neelakanteswara Rao A. ◽  
Krishnanand Lanka ◽  
PRC Gopal
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Cycle Time ◽  
Production System ◽  
Demand Uncertainty ◽  
Production Systems ◽  
Decision Variable ◽  
Content Type ◽  
Pull Production ◽  
Kanban System

Purpose Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty. Design/methodology/approach In this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios. Findings From the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible. Research limitations/implications In a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size. Originality/value This study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

scholarly journals Analytical hierarchy process - bocr applied for the best lean project selection for production lines

2020 ◽  
Vol 11 (1) ◽  
pp. 054
Author(s):  
José Antonio De Miranda Lammoglia ◽  
Nilson Brandalise ◽  
Cecilia Toledo Hernandez
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Production Management ◽  
Production Systems ◽  
Management Strategies ◽  
Investment Project ◽  
Production Volume ◽  
Production Lines ◽  
Global Competitiveness ◽  
Investment Projects

The scenario of global competitiveness demands more and more of the organizations the search for continuous improvement. For survival, in the face of adverse market conditions, modern production management strategies are essential to make production processes increasingly efficient, lean and sustainable, minimizing losses in their production systems. In this sense, when thinking about changes in production lines, in search of improvements in their process, criteria that provide Benefits, Opportunities, Costs and Risks (BOCR) should be considered. In this way, managers and executives should rely on tools and methods that allow them to guide their decisions in a clear way. The objective of this work is to apply a method of Decision Making with Multiple Criteria to the alternatives of investment projects in production lines in Lean Manufacturing concept. As a general result, it was possible to observe the applicability of the AHP BOCR method for the decision-making case involving several criteria and subcriteria for choosing the Lean investment project in the steel environment, the preferred alternative being the discontinuity of the production line 1 and the absorption of their respective production volume by production lines 2 and 3 through investments in them.

Seru Production System

2021 ◽  
pp. 113-138
Author(s):  
Emre Bilgin Sarı ◽  
Sabri Erdem
Keyword(s):  
Production System ◽  
Mass Production ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Job Shop ◽  
Production Systems ◽  
Cost Effective ◽  
Opportunity To Respond ◽  
Manufacturing Management ◽  
The Impact

Seru production system is a flexible, cost-effective, workforce competence-oriented manufacturing management system that provides the opportunity to respond quickly to customer demand. As in parallel to technology and physical improvements, customer demands are also effective for development of production systems. The impact of change in demand has been seen on changeover from job shop to mass production, flexible, and lean manufacturing systems. Seru production system is more appropriate for targeting work both cost-effectively like mass production and maximum diversification like job shop production. This chapter clarifies the Seru production system and explain its use and benefits in the clothing industry. In the application, a shirt production is illustrated according to the principles of mass production, lean production, and Seru production. Thus, different types of production systems have been benchmarked. There will be potential study areas for proving the efficiency of Seru soon.

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