From Just in Time Manufacturing to On-Demand Services

Author(s):  
Ananth Krishnamurthy
Keyword(s):  
2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6573-6573
Author(s):  
Krystyna Kowalczyk ◽  
Rhonda U. Henry ◽  
Bellinda Conte

6573 Background: According to the Journal of Clinical Oncology, 50% of sites performing clinical trials never enroll a patient. And on top of that, it can take several months to activate a site for an oncology clinical trial; precious time that patients cannot afford when they’ve had a cancer diagnosis and precious time sponsors need when developing new compounds for market. While many patients are interested in participating in trials, they are limited in their opportunities because they do not live near a research site or work with a physician performing clinical trials. So with this crisis in the oncology field, research needs to be more efficient and inclusive. Methods: A combined partnership of sites, physicians, CRO and sponsor leveraging Just-in-Time enrollment methodology helped expedite clinical trial enrollment and diversify trial access driving faster first patient enrolled and expanding the potential patient denominator. Results: This on-demand methodology augmented existing sites that had access to oncology patients by providing broader access, faster, and with no quality loss. Strong partnerships between CRO and sponsor then facilitated two-week site activation allowing every identified patient to be converted to a study subject. This methodology was repeated across seven protocols driving patents on trials within six weeks of trial available. Conclusions: The benefits of this Just-in-Time methodology touch all areas of clinical trials: Patients have greater clinical trial access: A larger denominator of patients across broader geographies have local access to portfolios of clinical trials; Trials start to enroll faster: Patients can be randomized into oncology clinical trials within two weeks of study start up driving trial time to completion; Sites have more trial options to consider: Sites have a broader portfolio of trials to access on demand without added administrative burden; Trials complete faster: Sponsors accrue patients faster driving expedited timelines and accelerating drug development.


2021 ◽  
Vol 5 (2) ◽  
pp. 166-178
Author(s):  
Eva Kostikov ◽  
Petra Jílkova ◽  
Pavla Kotatkova Stranska

Since the COVID-19 pandemic hit last year, countries locked their borders. Thus, international shipping deteriorates drastically. Simultaneously, social distancing increased the need for immediate online consumption and fast home delivery. In the non-digital world, products still need to be shipped to their destination using trucks, trains, airplanes, and ships. Simultaneously, requirements for volumes of goods, transport costs, external limiting factors, etc., must be precisely defined. The article aims to find the optimal location selection solution based on the created mathematical model of the Modified Steiner-Weber Problem with restrictive conditions. The model allows for the central warehouse's optimal location and minimizes distribution costs from the central warehouse to sub-warehouses/branches located in individual EU countries. The mathematical model has been applied to a case study of a selected e-commerce dealing, which has established branches in capital cities but does not have an established central warehouse. Systematization of literature sources and approaches to solving the problem of e-commerce distribution center location showed that 86% of the studied companies plan to use on-demand warehousing in the next three to five years. Therefore, the need for warehousing would be preserved. The authors noted that they do not necessarily need to have it in-house. Consequently, fulfillment centers and warehouses would likely continue to be a significant component in the future logistics system. This research would like to stress how important the management of the effective optimization of e-commerce distribution center location is and how to achieve it. The success of Amazon in the US, Europe, and Alibaba in China has genuinely redefined consumer expectations. With the emergence of services like Amazon Prime, consumers now expect same-day delivery. The solution enabling this evolution has been a mix of manufacturing where the production costs are optimal, just-in-time shipping, highly automated fulfillment centers, and mobile connectivity growth. The proposed model results showed that the best location for a central location and storage center concerning the e-commerce environment, including minimum annual transport costs, is near Bristol in the United Kingdom. Eighty-six percent of the companies in the study plan to use on-demand warehousing in the next three to five years, and the solution enabling this evolution has been a combination of manufacturing where the production costs are optimal, just-in-time shipping, highly automated fulfillment centers, and, to a growing extent, mobile connectivity.


2021 ◽  
Vol 6 (1) ◽  
pp. 27-43
Author(s):  
Bob Ochieng

Introduction: Western Kenya is the largest producer of sugar in Kenya, supporting about 170,000 smallholder farming households and contributing about 80 percent of the total sugar produced in Kenya. This contribution is however threatened given that the sugar firms in that region are producing sub optimally with obsolete technology. Comparing to related sector, other firms in Kenya such as the tea manufacturing firms have implemented energy efficiency practices so as to manage energy wastage and reduce production costs. Were they to employ effective production methods, they could increase their production significantly. While that is the case, scholars have suggested that adoption of lean manufacturing practices is a panacea to quality addition and waste minimization. Perhaps what these firms need are lean practices. Purpose: This study interrogated the extent to which the firms have adopted lean manufacturing practices, just-in-time and total quality control and if they have, its effect on supply chain performance. Methodology: The study targeted and conducted a census on the 11 sugar manufacturing firms in the Western Kenya belt where the procurement managers, line managers, finance managers, production managers, production engineers, quality assurance officers and operations managers of each of the 11 firms (total 87) were targeted. The study employed a descriptive research design to collect quantitative data. Quantitative primary data was collected through questionnaires and analyzed using statistical package for social sciences.  Findings: The findings of the study indicated that the just in time productionand total quality control are positively and significantly associated with supply chain performance of the sugar manufacturing firms. Unique Contribution to Practice and Policy: The study recommended adoption of just in time production practices such as availing labor on demand in order to manage labor costs, availing resources on demand in order to manage wastage, production on demand in order to manage inventory costs, ordering raw materials from the suppliers only when there is demand for production from customers, having a simplified production design to ensure timely production and having multiple skilled workers to ensure faster production. In addition, in order for the sugar manufacturing firms to increase supply chain performance, there is need to adopt total quality control practices such as having manageable defect prevention costs related to quality planning, putting in place manageable defect prevention costs related to investment in quality related information systems, having manageable appraisal costs related to test and inspection of purchased materials, having manageable appraisal costs related to quality audits, having controllable internal failure costs related to reworks and having manageable internal failure costs related to scrap.


Author(s):  
A. Portero ◽  
M. Podhoranyi ◽  
D. Hrbac ◽  
S. Libutti ◽  
G. Massari ◽  
...  

Author(s):  
Kam Hou Vat

The potentialities of the information (or Internet) age have somehow exceeded many of our current calculations in education (Brown, 2000; Cornford & Pollock, 2003; Duke, 2002). Imagine a student attending a class waiting to be taught mostly in lectures or direct training from the instructor. The same student as a learner has at hand many an on-demand (or just-in-time) ubiquitous high-quality learning environments with learner-friendly support, such as the Wikipedia (http://en.wikipedia. org). Today’s numerous virtual communities, including the WELL project (http://www.well.com) or the Blacksburg community networks (http://www.bev.net), have demonstrated to our inquiring students the possibility of fostering their own learning initiatives, with the comfort of an electronic personalized space in the form of customizable information system (IS) support (Vat, 2005) guarded by privately assigned identifier and password, to experience and make sense of their worlds of learning. The message to the education community is clear: we need to inject more flexibility (Khan, 2007a) in support of learning; namely, learners now must be empowered with more say in what they learn, when they learn, and where and how they learn.


Author(s):  
Kimin Lee ◽  
Yeonkeun Kim ◽  
Seokhyun Kim ◽  
Jinwoo Shin ◽  
Seungwon Shin ◽  
...  
Keyword(s):  

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