Introduction
For the past decade, the impact of web-based technologies has added “velocity” to the design, manufacturing,
and aftermarket service of a product. Today’s competition in manufacturing industry depends not just on
lean manufacturing but also on the ability to provide customers with total solutions and life-cycle costs for
sustainable value. Manufacturers are now under tremendous pressure to improve their responsiveness and
efficiency in terms of product development, operations, and resource utilization with a transparent visibility
of production and quality control. Lead times must be cut short to their extreme extent to meet the changing
demands of customers in different regions of the world. Products are required to be made-to-order with
no or minimum inventory, requiring (a) an efficient information flow between customers, manufacturing,
and product development (i.e., plant floor, suppliers, and designers), (b) a tight control between customers
and manufacturing, and (c) near-zero downtime of the plant floor assets. Figure 97.1 summarizes the trends
in manufacturing and function of predictive intelligence as an enabling tool to meet the needs [1–4].
With emerging applications of Internet and tether-free communication technologies, the impact of eintelligence
is forcing companies to shift their manufacturing operations from the traditional factory
integration philosophy to an e-factory and e-supply chain philosophy. It transforms companies from a
local factory automation to a global enterprise and business automation. The technological advances for
achieving this highly collaborative design and manufacturing environment are based on multimedia-type
information-based engineering tools and a highly reliable communication system for enabling distributed
procedures in concurrent engineering design, remote operation of manufacturing processes, and
operation of distributed production systems. As shown in Figure 97.2, e-manufacturing fills the gaps
existing in the traditional manufacturing systems. The gaps between product development and supply
chain consist of lack of life-cycle information and lack of information about supplier capabilities. Hence,
designers, unless with years of experience, work in a vacuum, design the product according to the specification
given, and wait for the next step.Most of the time, the design made according to specifications is
realized to be infeasible for manufacturing with suppliers’ machinery. As a result, lead times become
longer. Similarly, for instance, because of the lack of information and synchronization between suppliers
IntroductionFor the past decade, the impact of web-based technologies has added "velocity" to the design, manufacturing,and aftermarket service of a product. Today's competition in manufacturing industry depends not just onlean manufacturing but also on the ability to provide customers with total solutions and life-cycle costs forsustainable value. Manufacturers are now under tremendous pressure to improve their responsiveness andefficiency in terms of product development, operations, and resource utilization with a transparent visibilityof production and quality control. Lead times must be cut short to their extreme extent to meet the changingdemands of customers in different regions of the world. Products are required to be made-to-order withno or minimum inventory, requiring (a) an efficient information flow between customers, manufacturing,and product development (i.e., plant floor, suppliers, and designers), (b) a tight control between customersand manufacturing, and (c) near-zero downtime of the plant floor assets. Figure 97.1 summarizes the trendsin manufacturing and function of predictive intelligence as an enabling tool to meet the needs [1–4].With emerging applications of Internet and tether-free communication technologies, the impact of eintelligenceis forcing companies to shift their manufacturing operations from the traditional factoryintegration philosophy to an e-factory and e-supply chain philosophy. It transforms companies from alocal factory automation to a global enterprise and business automation. The technological advances forachieving this highly collaborative design and manufacturing environment are based on multimedia-typeinformation-based engineering tools and a highly reliable communication system for enabling distributedprocedures in concurrent engineering design, remote operation of manufacturing processes, andoperation of distributed production systems. As shown in Figure 97.2, e-manufacturing fills the gapsexisting in the traditional manufacturing systems. The gaps between product development and supplychain consist of lack of life-cycle information and lack of information about supplier capabilities. Hence,designers, unless with years of experience, work in a vacuum, design the product according to the specificationgiven, and wait for the next step.Most of the time, the design made according to specifications isrealized to be infeasible for manufacturing with suppliers' machinery. As a result, lead times becomelonger. Similarly, for instance, because of the lack of information and synchronization between suppliers
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Introduction
For the past decade, the impact of web-based technologies has added “velocity” to the design, manufacturing,
and aftermarket service of a product. Today’s competition in manufacturing industry depends not just on
lean manufacturing but also on the ability to provide customers with total solutions and life-cycle costs for
sustainable value. Manufacturers are now under tremendous pressure to improve their responsiveness and
efficiency in terms of product development, operations, and resource utilization with a transparent visibility
of production and quality control. Lead times must be cut short to their extreme extent to meet the changing
demands of customers in different regions of the world. Products are required to be made-to-order with
no or minimum inventory, requiring (a) an efficient information flow between customers, manufacturing,
and product development (i.e., plant floor, suppliers, and designers), (b) a tight control between customers
and manufacturing, and (c) near-zero downtime of the plant floor assets. Figure 97.1 summarizes the trends
in manufacturing and function of predictive intelligence as an enabling tool to meet the needs [1–4].
With emerging applications of Internet and tether-free communication technologies, the impact of eintelligence
is forcing companies to shift their manufacturing operations from the traditional factory
integration philosophy to an e-factory and e-supply chain philosophy. It transforms companies from a
local factory automation to a global enterprise and business automation. The technological advances for
achieving this highly collaborative design and manufacturing environment are based on multimedia-type
information-based engineering tools and a highly reliable communication system for enabling distributed
procedures in concurrent engineering design, remote operation of manufacturing processes, and
operation of distributed production systems. As shown in Figure 97.2, e-manufacturing fills the gaps
existing in the traditional manufacturing systems. The gaps between product development and supply
chain consist of lack of life-cycle information and lack of information about supplier capabilities. Hence,
designers, unless with years of experience, work in a vacuum, design the product according to the specification
given, and wait for the next step.Most of the time, the design made according to specifications is
realized to be infeasible for manufacturing with suppliers’ machinery. As a result, lead times become
longer. Similarly, for instance, because of the lack of information and synchronization between suppliers
การแปล กรุณารอสักครู่..
Introduction
For the, past decade the impact of web-based technologies has added "velocity." to the design manufacturing
and,,, Aftermarket service of a product. Today 's competition in manufacturing industry depends not just on
lean manufacturing but. Also on the ability to provide customers with total solutions and life-cycle costs for
sustainable value.Manufacturers are now under tremendous pressure to improve their responsiveness and
efficiency in terms of, product development. Operations and resource, utilization with a transparent visibility
of production and quality control. Lead times must be. Cut short to their extreme extent to meet the changing
demands of customers in different regions of the world.Products are required to be made-to-order with
no or, minimum inventory requiring (a) an efficient information flow between. ,, customers manufacturing
and product development (i.e, plant, and suppliers floor, designers), (b) a tight control between. Customers
and, manufacturing and (c) near-zero downtime of the plant floor assets. Figure 97.1 summarizes the trends
.In manufacturing and function of predictive intelligence as an enabling tool to meet the needs [1 - 4].
With emerging applications. Of Internet and tether-free communication technologies the impact, of eintelligence
is forcing companies to shift their. Manufacturing operations from the traditional factory
integration philosophy to an e-factory and E - supply chain philosophy.It transforms companies from a
local factory automation to a global enterprise and business automation. The technological. Advances for
achieving this highly collaborative design and manufacturing environment are based on multimedia-type
information-based. Engineering tools and a highly reliable communication system for enabling distributed
procedures in concurrent engineering. Design.Remote operation of, manufacturing processes and
operation of distributed production systems. As shown in, Figure 97.2 e-manufacturing. Fills the gaps
existing in the traditional manufacturing systems. The gaps between product development and supply
chain. Consist of lack of life-cycle information and lack of information about supplier capabilities. Hence
designers,,Unless with years of experience work in, a vacuum design the, product according to the specification
given and wait, for. The next step. Most of the time the design, made according to specifications is
realized to be infeasible for manufacturing. With suppliers' machinery. As, a result lead times become
longer. Similarly for instance,,Because of the lack of information and synchronization between suppliers.
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