A statistical tolerancing approach for design of synchronized supply chains

Choudhary, Anshul; Singh, Kumar Ashutosh; Tiwari, Manoj Kumar

doi:10.1016/j.rcim.2005.07.003

Cited by 16 publications

(3 citation statements)

References 29 publications

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“…This makes the function more accurate, but also too complex for an analytical allocation by Lagrange multipliers. The function has been used with other allocation methods such as nonlinear programming solved by Monte Carlo [112], genetic algorithms [113] and integrated Kriging meta-modeling [114]. In [113], the variable T is replaced by (T−Tlim), where Tlim is the minimum tolerance allowable with a certain process.…”

Section: Michael-siddallmentioning

confidence: 99%

Selection of parameters in cost-tolerance functions: review and approach

Armillotta

2020

Int J Adv Manuf Technol

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The paper deals with the cost-tolerance functions used in minimum-cost tolerance allocation on mechanical assemblies. The consistency of the cost-tolerance functions associated with different dimensions of a tolerance chain is a necessary condition for a correct optimization of tolerance values. This requires a careful selection of function parameters, in order to take into account all the variables influencing the cost, and thus to compare the costs of the different dimensions in a common scale. The cost-tolerance functions proposed in the literature are reviewed, revealing that the parameters are often selected without explicit reference to empirical data or objective rules. The development of procedures for parameter selection has been addressed in several studies, which are also reviewed along with the needed cost data published in textbooks and reports. Finally, an original approach is proposed to build cost-tolerance functions for combined processes, for which fewer results or methods are available. The parameters of a reciprocal power function, chosen for the favorable balance between accuracy and ease of use, are expressed through an empirical relationship with some design variables; these include the nominal dimensions, and the type and size of the part features involved in the allocation problem. An application example shows that the proposed procedure results in optimal tolerance values consistent with common design criteria.

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Section: Michael-siddallmentioning

confidence: 99%

Selection of parameters in cost-tolerance functions: review and approach

Armillotta

2020

Int J Adv Manuf Technol

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“…proposed by several researchers [8][9][10][11][12][13][14]. A review of these models indicates that the time value of investment dollars for improving delivery performance is lacking.…”

Section: Introductionmentioning

confidence: 99%

An optimization framework for improving supplier delivery performance

Bhattacharyya

Guiffrida

2015

Applied Mathematical Modelling

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a b s t r a c tGiven the growing importance of supplier delivery performance in buyer-supplier alignment and end-to-end fulfillment of supply chains, we investigate the managerial implications of a buyer who financially invests to improve a supplier's delivery performance by demonstrating an optimization model for the buyer's investment decision to reduce untimely delivery. We illustrate how improving supplier delivery performance leads to better supplier management. Our analysis utilizes the ingenious zeta transforms widely used in engineering to showcase its applicability in today's complex supply landscapes that use multiple suppliers to create efficient frontiers for diverse sourcing initiatives.

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“…Selanjutnya dengan mengembangkan kolaborasi, perusahaan manufaktur dapat meningkatkan tingkat keahlian (level of expertise) dan meminimasi risiko investasi (Samadhi dan Hoang [15]). Kemudahan melakukan kolaborasi dapat dicapai dengan adanya teknologi informasi dan teknologi proses manufaktur, dimana berbagai komponen dalam jaringan rantai pasok dapat dikendalikan secara elektronik melalui internet maupun intranet dan basis data yang saling terhubung (Choudhary et al [2]). Dengan demikian, makalah ini bertujuan membahas pengembangan model optimisasi simultan penentuan toleransi dan pabrik untuk melakukan proses manufaktur komponen rakitan dengan memperhatikan batasan toleransi kualitas dan batasan delivery time untuk meminimasi total ongkos pada kolaborasi sistem manufaktur berbasis pesanan (MTO).…”

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Model Simultan Penentuan Toleransi Komponen Produk Rakitan dan Pabrik dalam Kolaborasi Manufaktur Make-to-Order

Mustajib

2010

jti

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This paper discusses the development of simultaneous optimization model to determine component tolerance of assembly product and plant for manufacturing processes by considering quality tolerance limits, and delivery time constraint to minimize total cost in collaboration environment of make-to-order manufacturing systems. Total cost of the system consists of manufacturing costs and quality loss costs as the tolerance function, operational costs for multi-plant manufacturing collaboration which includes: setup costs, material handling costs, operating costs of assembly, manual operations costs, and transportation costs. Formulation of the model developed uses mixed integer non linear programming as a method of solution search. In the numerical examples presented, the optimization process results an optimal solution. Optimal solution is not sensitive if the changes in quality tolerance constraint and delivery time constraint is not large. While the addition of an alternative plant for producing a component can changes the alternative plant selected

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A statistical tolerancing approach for design of synchronized supply chains

Cited by 16 publications

References 29 publications

Selection of parameters in cost-tolerance functions: review and approach

Selection of parameters in cost-tolerance functions: review and approach

An optimization framework for improving supplier delivery performance

Model Simultan Penentuan Toleransi Komponen Produk Rakitan dan Pabrik dalam Kolaborasi Manufaktur Make-to-Order

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