scholarly journals An integrated production scheduling and delivery route planning with multi-purpose machines: A case study from a furniture manufacturing company

2020 ◽  
Vol 219 ◽  
pp. 347-359 ◽  
Author(s):  
S. Mohammadi ◽  
S.M.J. Mirzapour Al-e-Hashem ◽  
Y. Rekik
Author(s):  
Shruti Makarand Kanade

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.


2020 ◽  
Vol 12 (8) ◽  
pp. 3252 ◽  
Author(s):  
Marianna Lena Kambanou

Despite the existence of many life cycle costing (LCC) methods, LCC is not widely adopted and LCC methods are usually further tailored by practitioners. Moreover, little is known about how practising LCC improves life cycle management (LCM) especially if LCM is considered emergent and constantly developing. In a manufacturing company, LCC is prescriptively introduced to improve LCM. In the first part, this study describes how various methodological choices and other aspects of practising LCC were the outcome of contestation and conformity with extant practices and not only the best way to fulfil the LCC’s objective. This contestation can even influence if LCC is adopted. In the second part of the research, the implications of practising LCC on LCM are explored. LCC is found to positively propel LCM in many ways e.g., by spreading the life cycle idea, but may lead to a narrower understanding of the term life cycle resulting in the sustainability focus of LCM being overridden. The article also discusses how the findings can be taken into consideration when researchers develop LCC methods and when industry practises LCC.


2013 ◽  
Vol 51 (11) ◽  
pp. 3463-3475 ◽  
Author(s):  
Mustafa Batuhan Ayhan ◽  
Ercan Öztemel ◽  
Mehmet Emin Aydin ◽  
Yong Yue

2021 ◽  
pp. 1-13
Author(s):  
Qinghua Li ◽  
Yisong Li

With the volume growth of delivery business, terminal distribution plays a more and more important role in logistics as it faces consumers directly. User Profiling as an important tool to realize user-centric interaction design can provide more accurate information for terminal distribution. By user profiling, the design team can better understand and satisfy users and their demands for the product and service. This paper studies the problem of terminal delivery route planning considering user logistic profiles. It mainly generates user profiles from two aspects: consumers’ preference for self-pickup services and consumers’ complaint tendencies. Based on the results of user profiles, an Adaptive Large Adjacent Search algorithm is established to design the delivery route of terminal distribution and determine the appropriate delivery strategy to reduce delivery costs and improve customer satisfaction.


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