Scalability Planning for Cloud-Based Manufacturing Systems

Author(s):  
Dazhong Wu ◽  
David W. Rosen ◽  
Dirk Schaefer

Cloud-based manufacturing (CBM) has recently been proposed as an emerging manufacturing paradigm that may potentially change the way manufacturing services are provided and accessed. In the context of CBM, companies may opt to crowdsource part of their manufacturing tasks that are beyond their existing in-house manufacturing capacity to third-party CBM service providers by renting their manufacturing equipment instead of purchasing additional machines. To plan manufacturing scalability for CBM systems, it is crucial to identify potential manufacturing bottlenecks where the entire manufacturing system capacity is limited. Because of the complexity of manufacturing resource sharing behaviors, it is challenging to model and analyze the material flow of CBM systems in which sequential, concurrent, conflicting, cyclic, and mutually exclusive manufacturing processes typically occur. To address and further study this issue, we develop a stochastic Petri nets (SPNs) model to formally represent a CBM system, model and analyze the uncertainties in the complex material flow of the CBM system, evaluate manufacturing performance, and plan manufacturing scalability. We validate this approach by means of a delivery drone example that is used to demonstrate how manufacturers can indeed achieve rapid and cost-effective manufacturing scalability in practice by combining in-house manufacturing and crowdsourcing in a CBM setting.

Author(s):  
Dazhong Wu ◽  
David W. Rosen ◽  
Dirk Schaefer

Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, has the potential to allow manufacturing enterprises to be rapidly scaled up and down by crowdsourcing manufacturing tasks or sub-tasks. To improve the efficiency of the crowdsourcing process, the material flow of CBM systems needs to be managed so that several manufacturing processes can be executed simultaneously. Further, the scalability of manufacturing capacity in CBM needs to be designed, analyzed, and planned in response to rapidly changing market demands. The objective of this paper is to introduce a stochastic petri nets (SPNs)-based approach for modeling and analyzing the concurrency and synchronization of the material flow in CBM systems. The proposed approach is validated through a case study of a car suspension module. Our results have shown that the SPN-based approach helps analyze the structural and behavioral properties of a CBM system and verify manufacturing performance.


Author(s):  
Simon Wiltshire

The primary function of income security organisations is to administer personal injury claims in a commercially viable and cost effective manner, while supporting the receivers of benefits/claimants to achieve a meaningful and durable return to employment. Given the pressures of commercial success in a competitive market measured by effective cost minimisation, to what extent is the level of support offered to individuals claiming benefits impacted by an organisation's purpose to be profitable? The extent of influence exercised by income security organisations in administering claims and driving employment outcomes is limited by jurisdictional legislation and regulations. Furthermore, the requirements to meet compliance requirements can often be detrimental to the quality of management of claims, resulting in a highly administrated framework. This can restrict an organisations capacity to meet individual needs, especially in cases that are not seen as fitting the norm. Considering the conflicting demands imposed by commercial pressures and regulatory frameworks, what is the level of influence that may be exercised by these organisations in facilitating employment outcomes? Employers Mutual have maintained a leading position in the NSW Workers Compensation Scheme, achieving commercial targets, meeting legislative requirements and promoting excellence in employment outcomes through: •Organisational vision – we help people get their lives back;•Focus on support and development of people as front line drivers of performance;•Role design – how we actually do our jobs;•Implementing organisation strategies and designing key support roles aligned to remunerative measures;•Strategic focus on early intervention to facilitate return to work;•Ensuring people receive the full extent of their entitlements, however, are not compensated to excess;•Service level agreements with employers/brokers with a key focus on return to work expectations;•Strong relationships with third party service providers; and•A structured framework that allows flexibility in decision making.


2021 ◽  
Vol 16 (4) ◽  
pp. 431-442
Author(s):  
R. Ojstersek ◽  
A. Javernik ◽  
B. Buchmeister

In recent years, there have been more and more collaborative workplaces in different types of manufacturing systems. Although the introduction of collaborative workplaces can be cost-effective, there is still much uncertainty about how such workplaces affect the capacity of the rest of production system. The article presents the importance of introducing collaborative workplaces in manual assembly operations where the production capacities are already limited. With the simulation modelling method, the evaluation of the introduction impact of collaborative workplaces on manual assembly operations that represent bottlenecks in the production process is presented. The research presents two approaches to workplace performance evaluation, both simulation modelling and a real-world collaborative workplace example, as a basis of a detailed time study. The main findings are comparisons of simulation modelling results and a study of a real-world collaborative workplace, with graphically and numerically presented parameters describing the utilization of production capacities, their efficiency and financial justification. The research confirms the expediency of the collaborative workplaces use and emphasise the importance of further research in the field of their technological and sociological impacts.


2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Smriti Asthana ◽  
Hamlata Bhat

The Indian logistics industry is growing rapidly. It is the interchange of infrastructure, technology and new types of service providers that define whether the industry is able to help its customers reduce their logistics costs and provide effective services. Logistics services are the backbone of an economy, providing the efficient, cost effective flow of goods and services on which other commercial sectors are dependent. The logistics companies work as the outsourced or third party service providers (3PL) and support the organizations logistics functions. This study of business performance measurement of 3PL organizations or logistics outsourcing in Indian logistics industry explores the relationship between 3PL service providers and supply chain partners (both upstream and downstream). The researchers have made an attempt to determine the relationship on the basis of the performance variables such as Service Quality (SQ), Organisational Effectiveness (OE) and Relationship Management (RM) and there effect on the performance of the third party service provider(s).


2021 ◽  
Vol 7 (1) ◽  
pp. 398-409
Author(s):  
Csilla Bartucz

Rising expectations for urban logistics are the biggest challenge for parcel service providers. The increased costs posed by obstacles reduce profitability, and providers are forced to develop a novel operating model based on cooperation. The new model can combine what is known so far, which can be integrated into a platform-based system to implement collaborative resource sharing. The implementation of the platform will result in the introduction of a new player and the creation of a partly common ICT background. The platform-based approach is known in the context of the sharing economy initiative, which has also brought a novel trust-based model to life. On the one hand, this article presents a possible business model for parcel logistics providers and, on the other hand, the operation of a third-party IT platform and the method of resource allocation designed to reduce costs. In addition, it presents the possible reasons for the intention to join the platform and the conditions necessary to maintain the platform. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Author(s):  
Jin Han ◽  
Jing Zhan ◽  
Xiaoqing Xia ◽  
Xue Fan

Background: Currently, Cloud Service Provider (CSP) or third party usually proposes principles and methods for cloud security risk evaluation, while cloud users have no choice but accept them. However, since cloud users and cloud service providers have conflicts of interests, cloud users may not trust the results of security evaluation performed by the CSP. Also, different cloud users may have different security risk preferences, which makes it difficult for third party to consider all users' needs during evaluation. In addition, current security evaluation indexes for cloud are too impractical to test (e.g., indexes like interoperability, transparency, portability are not easy to be evaluated). Methods: To solve the above problems, this paper proposes a practical cloud security risk evaluation method of decision-making based on conflicting roles by using the Analytic Hierarchy Process (AHP) with Aggregation of Individual priorities (AIP). Results: Not only can our method bring forward a new index system based on risk source for cloud security and corresponding practical testing methods, but also can obtain the evaluation result with the risk preferences of conflicting roles, namely CSP and cloud users, which can lay a foundation for improving mutual trusts between the CSP and cloud users. The experiments show that the method can effectively assess the security risk of cloud platforms and in the case where the number of clouds increased by 100% and 200%, the evaluation time using our methodology increased by only by 12% and 30%. Conclusion: Our method can achieve consistent decision based on conflicting roles, high scalability and practicability for cloud security risk evaluation.


Author(s):  
Ramesh Raghavan

This chapter presents an overview of how D&I research can be evaluated from an economic point of view. Dissemination and implementation imposes costs upon knowledge purveyors, provider organizations, public health organizations, and payers (including governments). However, whether these added costs will result in improved service delivery and, perhaps more importantly, client outcomes and improvements in population health remain as open questions. If emerging studies reveal that defined implementation strategies are more cost effective than “usual” implementation, then policymakers and service providers will need to resource these added costs of implementation in order to assure the success and sustainability of high-quality health services over the long term.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Takahiro Kinoshita ◽  
Kensuke Moriwaki ◽  
Nao Hanaki ◽  
Tetsuhisa Kitamura ◽  
Kazuma Yamakawa ◽  
...  

Abstract Background Hybrid emergency room (ER) systems, consisting of an angiography-computed tomography (CT) machine in a trauma resuscitation room, are reported to be effective for reducing death from exsanguination in trauma patients. We aimed to investigate the cost-effectiveness of a hybrid ER system in severe trauma patients without severe traumatic brain injury (TBI). Methods We conducted a cost-utility analysis comparing the hybrid ER system to the conventional ER system from the perspective of the third-party healthcare payer in Japan. A short-term decision tree and a long-term Markov model using a lifetime time horizon were constructed to estimate quality-adjusted life years (QALYs) and associated lifetime healthcare costs. Short-term mortality and healthcare costs were derived from medical records and claims data in a tertiary care hospital with a hybrid ER. Long-term mortality and utilities were extrapolated from the literature. The willingness-to-pay threshold was set at $47,619 per QALY gained and the discount rate was 2%. Deterministic and probabilistic sensitivity analyses were conducted. Results The hybrid ER system was associated with a gain of 1.03 QALYs and an increment of $33,591 lifetime costs compared to the conventional ER system, resulting in an ICER of $32,522 per QALY gained. The ICER was lower than the willingness-to-pay threshold if the odds ratio of 28-day mortality was < 0.66. Probabilistic sensitivity analysis indicated that the hybrid ER system was cost-effective with a 79.3% probability. Conclusion The present study suggested that the hybrid ER system is a likely cost-effective strategy for treating severe trauma patients without severe TBI.


Sign in / Sign up

Export Citation Format

Share Document