Lean Production Planning, Control, and Supply Chains

Author(s):  
John Nicholas
2021 ◽  
Vol 6 (2) ◽  
pp. 019-027
Author(s):  
Afriansyah Afriansyah ◽  
Amrifan Saladin Mohruni

Manufacturing can be defined as applying physical and/or chemical processes to modify the structure, properties, and appearance of a given starting material to produce parts or products. Manufacturing often entails combining multiple elements for the creation of assembled products. This study aimed to establish a general understanding of development production planning and control and typical products such as just in time and lean production. Method of this study through literature review. This study described activities related to production planning and production control, the difference between lean production and traditional production (push system), and the structure of lean production as known as Toyota system manufacturing.


2012 ◽  
pp. 313-342
Author(s):  
Roberto Poles

In the past, many companies were concerned with managing activities primarily along the traditional supply chain to optimize operational processes and thereby economic benefits, without considering new economic or environmental opportunities in relation to the reverse supply chain and the use of used or reclaimed products. In contrast, companies are now showing increased interest in reverse logistics and closed loop supply chains (CLSCs) and their economic benefits and environmental impacts. In this chapter, our focus is the study of remanufacturing activity, which is one of the main recovery methods applied to closed loop supply chains. Specifically, the authors investigate and evaluate strategies for effective management of inventory control and production planning of a remanufacturing system. To pursue this objective, they model a production and inventory system for remanufacturing using the System Dynamics (SD) simulation modeling approach. The authors primary interest is in the returns process of such a system. Case studies will be referred to in this chapter to support some of the findings and to further validate the developed model.


2019 ◽  
Vol 161 ◽  
pp. 72-78 ◽  
Author(s):  
Esteve Nadal-Roig ◽  
Lluís M. Plà-Aragonès ◽  
Antonio Alonso-Ayuso

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Longfei He ◽  
Zhaoguang Xu ◽  
Zhanwen Niu

We focus on the joint production planning of complex supply chains facing stochastic demands and being constrained by carbon emission reduction policies. We pick two typical carbon emission reduction policies to research how emission regulation influences the profit and carbon footprint of a typical supply chain. We use the input-output model to capture the interrelated demand link between an arbitrary pair of two nodes in scenarios without or with carbon emission constraints. We design optimization algorithm to obtain joint optimal production quantities combination for maximizing overall profit under regulatory policies, respectively. Furthermore, numerical studies by featuring exponentially distributed demand compare systemwide performances in various scenarios. We build the “carbon emission elasticity of profit (CEEP)” index as a metric to evaluate the impact of regulatory policies on both chainwide emissions and profit. Our results manifest that by facilitating the mandatory emission cap in proper installation within the network one can balance well effective emission reduction and associated acceptable profit loss. The outcome that CEEP index when implementing Carbon emission tax is elastic implies that the scale of profit loss is greater than that of emission reduction, which shows that this policy is less effective than mandatory cap from industry standpoint at least.


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