Search results

1 – 10 of over 104000
To view the access options for this content please click here
Article
Publication date: 1 June 1997

Mingyuan Chen and Weimin Wang

Develops a linear programming model for integrated production planning based on the practice of a major Canadian steel making company. Considers the entire planning

Downloads
5112

Abstract

Develops a linear programming model for integrated production planning based on the practice of a major Canadian steel making company. Considers the entire planning activity in the company as an integrated process involving a number of closely related sub‐functions, such as raw material purchasing, semi‐finished product purchasing and production, and capacity allocation, as well as finished product production and distribution. The mathematical programming model takes into account production costs, product throughput rates, customer demands, sales prices and facility capacities for optimal production planning. Presents a numerical example based on realistic system structure and practical planning data to illustrate the model. Computation results and analysis show that the integrated methodology is a feasible and practical approach for steel production planning.

Details

International Journal of Operations & Production Management, vol. 17 no. 6
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 1 March 1993

Melissa R. Bowers and Anurag Agarwal

Describes a model of a hierarchical planning system to provide a comprehensive approach to the complex production planning and scheduling problem. The model supplies a…

Abstract

Describes a model of a hierarchical planning system to provide a comprehensive approach to the complex production planning and scheduling problem. The model supplies a link between long‐term and short‐term planning; the three tiers of the hierarchy implement: long‐term inventory planning on a cost minimization basis; shorter‐term production planning; and daily sequencing. Emphasizes efficient processing and transmission of information.

Details

International Journal of Clothing Science and Technology, vol. 5 no. 3/4
Type: Research Article
ISSN: 0955-6222

Keywords

To view the access options for this content please click here
Article
Publication date: 1 January 1984

R.P. Mohanty and M.V.R. Krishnaswamy

Some hierarchical approaches for production planning in a batch type manufacturing environment are described. In a single stage production system, three aggregation levels…

Abstract

Some hierarchical approaches for production planning in a batch type manufacturing environment are described. In a single stage production system, three aggregation levels exist: types, families and items. The performance of a hierarchical system model is largely dependent on the methods of disaggregation at different levels. This paper reports on a study of hierarchical methods at the family disaggregation level and incorporates a simple modification to improve upon a heuristic proposed by Winters. Results indicate that even a very simple hierarchical planning approach can give a significant reduction in backorders in a production shop having severe capacity restriction.

Details

International Journal of Operations & Production Management, vol. 4 no. 1
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 30 December 2020

Dayanidhi Jena and Pritee Ray

The purpose of this paper is to develop a model for the production planning decision of a dairy plant in a multi-product setting under supply disruption risk and demand…

Abstract

Purpose

The purpose of this paper is to develop a model for the production planning decision of a dairy plant in a multi-product setting under supply disruption risk and demand uncertainty while determining the optimal product-mix and material planning requirement.

Design/methodology/approach

A mixed-integer nonlinear programming model is proposed to determine the optimal product-mix that maximizes the expected profit of a dairy. The data are collected through visits to the dairy site, conducting brainstorming sessions with the plant manager and marketing head at the corporate office. Disruption data are collected from the India Meteorological Department, Odisha.

Findings

From the analysis, it is recommended that the dairy should not produce curd during the planning period. Moreover, turnover from toned, double toned and baby food is maximum than that of the curd and these products are produced in the planning period. The expected profit increases from its present value when an optimal product-mix is followed. Sensitivity analysis is performed to analyze the effect of demand uncertainty, supply disruption and production quota. The expected profit decreases as the supply failure probability increases.

Research limitations/implications

The model is implemented in a dairy plant under Orissa State Cooperative Milk Producers Federation, Odisha, India. The proposed methodology has not been validated, theoretically. The concerned dairy is based on the Indian context, but the authors believe that the study is highly relevant to other dairies as well.

Practical implications

This study provides a methodology for dairy plant managers to plan production effectively under supply disruption risk with demand uncertainty. It also suggests material requirement planning at different factories of the dairy plant.

Originality/value

This paper develops a mathematical model for the production planning decision of a dairy plant that determines the optimal product-mix, which maximizes the expected profit of a dairy under disruption risk and demand uncertainty (in the Indian context).

To view the access options for this content please click here
Article
Publication date: 29 July 2020

Mohamed Ali Kammoun, Zied Hajej and Nidhal Rezg

The main contribution of this manuscript is to suggest new approaches in order to deal with dynamic lot-sizing and maintenance problem under aspect energetic and risk…

Abstract

Purpose

The main contribution of this manuscript is to suggest new approaches in order to deal with dynamic lot-sizing and maintenance problem under aspect energetic and risk analysis. The authors introduce a new maintenance strategy based on the centroid approach to determine a common preventive maintenance plan for all machines to minimize the total maintenance cost. Thereafter, the authors suggest a risk analysis study further to unforeseen disruption of availability machines with the aim of helping the production stakeholders to achieve the obtained forecasting lot-size plan.

Design/methodology/approach

The authors tackle the dynamic lot-sizing problem using an efficient hybrid approach based on random exploration and branch and bound method to generate possible solutions. Indeed, the feasible solutions of random exploration method are used as input for branch and bound to determine the near-optimal solution of lot-size plan. In addition, our contribution to the maintenance part is to determine the optimal common maintenance plan for M machines based on a new algorithm called preventive maintenance (PM) periods means.

Findings

First, the authors have funded the optimal lot-size plan that should satisfy the random demand under service level requirement and energy constraint while minimizing the costs of production and inventory. Indeed, establishing a best lot-size plan is to determine the appropriate number of available machines and manufactured units per period. Second, for risk analysis study, the solution of subcontracting is proposed by specifying a maximum cost of subcontractor in the context of a calling of tenders.

Originality/value

For maintenance problem, the originality consists in regrouping the maintenance plans of M machines into only one plan. This approach lets us to minimize the total maintenance cost and reduces the frequent breaks of production. As a second part, this paper contributed to the development of a new risk analysis study further to unforeseen disruption of availability machines. This risk analysis developed a decision-making system, for production stakeholders, in order to achieve the forecasting lot-size plan and keeps its profitability, by specifying the unit cost threshold of subcontractor in the context of a calling of tender.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

To view the access options for this content please click here
Article
Publication date: 5 October 2015

Seamus O'Reilly, Anita Kumar and Frédéric Adam

In recent years there has been an increasing interest in make-to-stock and make-to-order combined strategies in food manufacturing operations. However, most scholarly work…

Downloads
2084

Abstract

Purpose

In recent years there has been an increasing interest in make-to-stock and make-to-order combined strategies in food manufacturing operations. However, most scholarly work to-date has neglected the role of hierarchical production planning (HPP) in guiding small- and medium-sized enterprise (SME) implementation of such strategies. The purpose of this paper is to address food SME manufacturers’ readiness to adopt such strategies, in terms of internal integration and their capability to adopt formalised planning approaches.

Design/methodology/approach

This study adopted an action research methodology to explore the potential impact of HPP in SME food manufacturers. Selected companies had identified product variety management as a challenge and also had recognised the need to enhance internal integration. Given this, the research team, from a theoretical perspective, proposed the use of HPP set within a broader decision-making conceptual framework to improve internal integration and planning.

Findings

This paper adopts the fundamental position that HPP provides a useful framework in the establishment of strategic and tactical level constraints and priorities which then act as specific guides at the operational level, and presents empirical evidence in a food SME manufacturing context. In the cases the authors studies, the cascading effect of this decision-making framework focused attention on key metrics, encouraged greater internal integration and delivered tangible, significant improvements in performance. This was greatly facilitated by the provision of new key data on the cost of certain managerial trade-offs which these firms faced.

Originality/value

SMEs are of a scale that requires a formalised planning approach; however production planning systems are typically designed for large scale enterprises. This paper addresses the need of SMEs in this regard. Well-established supply chain metrics were used to establish the benefits of both HPP and resulting improvement in internal integration and beyond, in terms of improvement in the quality of planning decisions.

Details

International Journal of Operations & Production Management, vol. 35 no. 10
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 16 April 2018

Jesper Normann Asmussen, Jesper Kristensen, Kenn Steger-Jensen and Brian Vejrum Wæhrens

Significant transitions in firms (e.g. outsourcing) may impact the relative importance of production and inventory assets, affecting the hierarchical separation of planning

Abstract

Purpose

Significant transitions in firms (e.g. outsourcing) may impact the relative importance of production and inventory assets, affecting the hierarchical separation of planning decisions. The purpose of this paper is to contribute to planning literature by investigating how the production system and the planning environment influence the performance difference between hierarchical and monolithic planning. Further, it seeks to reduce the prevailing theory-practice gap in tactical planning.

Design/methodology/approach

Through an action research study, a monolithic model integrating tactical production planning decisions, subject to upstream supply chain constraints, with strategic investments decisions was developed, tested and implemented in a global OEM. Using the developed model and a measure of the capital cost of production assets relative to the cost of holding inventory, it is numerically examined how the production system and planning environment influence the performance of hierarchical and monolithic planning.

Findings

The research demonstrates the potential of integrating decisions and reveals significant performance differences between hierarchical and monolithic planning for firms with low capital cost relative to inventory holding cost.

Research limitations/implications

The findings suggest a fit between planning processes, the production system and planning environment. Future research should empirically validate the findings and propositions.

Originality/value

The paper combine capital investments and production planning decisions, which usually transpire at different hierarchical levels and on different time-horizons, and investigates the consequences of hierarchical separation through a real-life validated case and numerical analysis.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 5
Type: Research Article
ISSN: 0960-0035

Keywords

To view the access options for this content please click here
Article
Publication date: 1 February 1988

Overview All organisations are, in one sense or another, involved in operations; an activity implying transformation or transfer. The major portion of the body of…

Downloads
2883

Abstract

Overview All organisations are, in one sense or another, involved in operations; an activity implying transformation or transfer. The major portion of the body of knowledge concerning operations relates to production in manufacturing industry but, increasingly, similar problems are to be found confronting managers in service industry. It is only in the last decade or so that new technology, involving, in particular, the computer, has encouraged an integrated view to be taken of the total business. This has led to greater recognition being given to the strategic potential of the operations function. In order to provide greater insight into operations a number of classifications have been proposed. One of these, which places operations into categories termed factory, job shop, mass service and professional service, is examined. The elements of operations management are introduced under the headings of product, plant, process, procedures and people.

Details

Management Decision, vol. 26 no. 2
Type: Research Article
ISSN: 0025-1747

To view the access options for this content please click here
Article
Publication date: 1 June 1985

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III…

Downloads
11142

Abstract

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Details

Management Decision, vol. 23 no. 6
Type: Research Article
ISSN: 0025-1747

Keywords

To view the access options for this content please click here
Article
Publication date: 16 August 2011

Carles Sitompul and El‐Houssaine Aghezzaf

The purpose of this study is to propose and formulate an integrated hierarchical production, and maintenance‐planning model.

Downloads
1250

Abstract

Purpose

The purpose of this study is to propose and formulate an integrated hierarchical production, and maintenance‐planning model.

Design/methodology/approach

The proposed model is formulated mathematically and tested for some hypothetical cases. A two‐level planning is proposed to address the hierarchical planning problem, i.e. aggregate planning and detailed planning. A preventive maintenance planning is integrated into the aggregate planning, while machine breakdowns, which require corrective maintenance actions, are investigated in the detailed planning. The proposed general preventive maintenance model is tested against cyclical preventive maintenance models for some cases, and for evaluating the performance of the models, in terms of costs, and service levels.

Findings

The proposed general preventive maintenance model gives a better solution in terms of cost than the cyclical maintenance model (i.e. 6 per cent less costly), if the maintenance planning is executed separately from the production planning. In terms of service level, however, both models perform equally well with average service levels equal to 97.6 per cent. The effect of tight capacity, long maintenance duration, and small machine parameters similarly tightens the capacity. In these cases, it is shown that a stable level of capacity is more beneficial to achieve a better service level, which is gained if the preventive maintenance actions are carried out monthly.

Practical implications

At the aggregate level, the proposed preventive maintenance model considers a non‐cyclical planning, which means that the preventive maintenance periods do not necessarily fall at equally distant times. The inventory movement constraints at the aggregate level decouple machines to operate independently; hence the detailed level problem can be solved separately for each machine. In a rolling horizon approach, only the first period of the aggregate plan is implemented and disaggregated into the production of items at the detailed level.

Originality/value

The paper proposes an integrated model of hierarchical production and maintenance planning. A general preventive maintenance is integrated into the aggregate planning, while machine breakdowns are investigated in the detailed planning. To the best of one's knowledge, such a hierarchical view of production planning and maintenance has not been addressed adequately.

Details

Journal of Quality in Maintenance Engineering, vol. 17 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

1 – 10 of over 104000